Array
(
[>PROPERTY_DATES] => Array
(
[0] => 2020-07-05 23:59:59
[1] =>
)
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Array
(
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(
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[IBLOCK_ID] => 2
[SHOW_ALL_WO_SECTION] => Y
[ELEMENT_SORT_FIELD] => property_DATE
[ELEMENT_SORT_ORDER] => asc,nulls
[ELEMENT_SORT_FIELD2] => id
[ELEMENT_SORT_ORDER2] => asc,nulls
[PROPERTY_CODE] => Array
(
[0] => DATE
[1] => CITY
[2] => DATES
[3] => METOD_TEACHING
[4] => NEWPRODUCT
[5] => SALELEADER
[6] => SPECIALOFFER
[7] =>
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[PROPERTY_CODE_MOBILE] => Array
(
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[META_DESCRIPTION] => UF_META_DESCRIPTION
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[INCLUDE_SUBSECTIONS] => Y
[BASKET_URL] => /personal/cart/
[ACTION_VARIABLE] => action
[PRODUCT_ID_VARIABLE] => id
[SECTION_ID_VARIABLE] => SECTION_ID
[PRODUCT_QUANTITY_VARIABLE] => quantity
[PRODUCT_PROPS_VARIABLE] => prop
[FILTER_NAME] => catalog_custom_filter
[CACHE_TYPE] => A
[CACHE_TIME] => 3600
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[CACHE_GROUPS] => Y
[SET_TITLE] => Y
[MESSAGE_404] =>
[SET_STATUS_404] => Y
[SHOW_404] => N
[FILE_404] =>
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[LINE_ELEMENT_COUNT] => 3
[PRICE_CODE] => Array
(
[0] => BASE
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[USE_PRODUCT_QUANTITY] => Y
[ADD_PROPERTIES_TO_BASKET] => Y
[PARTIAL_PRODUCT_PROPERTIES] => N
[PRODUCT_PROPERTIES] => Array
(
)
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[DISPLAY_BOTTOM_PAGER] => Y
[PAGER_TITLE] => Товары
[PAGER_SHOW_ALWAYS] => N
[PAGER_TEMPLATE] => round
[PAGER_DESC_NUMBERING] => N
[PAGER_DESC_NUMBERING_CACHE_TIME] => 36000000
[PAGER_SHOW_ALL] => N
[PAGER_BASE_LINK_ENABLE] => N
[PAGER_BASE_LINK] =>
[PAGER_PARAMS_NAME] =>
[LAZY_LOAD] => N
[MESS_BTN_LAZY_LOAD] =>
[LOAD_ON_SCROLL] => N
[OFFERS_CART_PROPERTIES] => Array
(
[0] => DATE
)
[OFFERS_FIELD_CODE] => Array
(
[0] => NAME
[1] => PREVIEW_PICTURE
[2] => DETAIL_PICTURE
)
[OFFERS_PROPERTY_CODE] => Array
(
)
[OFFERS_SORT_FIELD] => sort
[OFFERS_SORT_ORDER] => desc
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[DETAIL_URL] => /courses/#SECTION_CODE#/#ELEMENT_CODE#/
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[CURRENCY_ID] => RUB
[HIDE_NOT_AVAILABLE] => N
[HIDE_NOT_AVAILABLE_OFFERS] => N
[LABEL_PROP] => Array
(
[0] => NEWPRODUCT
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[LABEL_PROP_MOBILE] => Array
(
)
[LABEL_PROP_POSITION] => top-left
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[PRODUCT_DISPLAY_MODE] => Y
[PRODUCT_BLOCKS_ORDER] => price,props,sku,quantityLimit,quantity,buttons
[PRODUCT_ROW_VARIANTS] => Array
(
[0] => ={{'VARIANT':'3'}
[1] => BIG_DATA':false
[2] => ={{'VARIANT':'3'}
[3] => BIG_DATA':false
[4] => ={{'VARIANT':'3'}
[5] => BIG_DATA':false
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[ENLARGE_PRODUCT] => STRICT
[ENLARGE_PROP] =>
[SHOW_SLIDER] => Y
[SLIDER_INTERVAL] => 3000
[SLIDER_PROGRESS] => N
[OFFER_ADD_PICT_PROP] => MORE_PHOTO
[OFFER_TREE_PROPS] => Array
(
[0] => SIZES_SHOES
[1] => SIZES_CLOTHES
[2] => COLOR_REF
[3] =>
)
[PRODUCT_SUBSCRIPTION] => Y
[SHOW_DISCOUNT_PERCENT] => Y
[DISCOUNT_PERCENT_POSITION] => bottom-right
[SHOW_OLD_PRICE] => N
[SHOW_MAX_QUANTITY] => N
[MESS_SHOW_MAX_QUANTITY] =>
[RELATIVE_QUANTITY_FACTOR] =>
[MESS_RELATIVE_QUANTITY_MANY] =>
[MESS_RELATIVE_QUANTITY_FEW] =>
[MESS_BTN_BUY] => Купить
[MESS_BTN_ADD_TO_BASKET] => В корзину
[MESS_BTN_SUBSCRIBE] => Подписаться
[MESS_BTN_DETAIL] => Подробнее
[MESS_NOT_AVAILABLE] => Нет в наличии
[MESS_BTN_COMPARE] => Сравнение
[USE_ENHANCED_ECOMMERCE] => N
[DATA_LAYER_NAME] =>
[BRAND_PROPERTY] =>
[TEMPLATE_THEME] => site
[ADD_SECTIONS_CHAIN] => Y
[ADD_TO_BASKET_ACTION] => ADD
[SHOW_CLOSE_POPUP] => N
[COMPARE_PATH] => /courses/compare/
[COMPARE_NAME] =>
[USE_COMPARE_LIST] => Y
[BACKGROUND_IMAGE] => UF_BACKGROUND_IMAGE
[COMPATIBLE_MODE] => N
[DISABLE_INIT_JS_IN_COMPONENT] => N
[CURRENT_BASE_PAGE] => /courses/mashinnoe_obuchenie/
[PARENT_NAME] => acs:catalog
[PARENT_TEMPLATE_NAME] => catalog_template
[PARENT_TEMPLATE_PAGE] => section
[GLOBAL_FILTER] => Array
(
[>PROPERTY_DATES] => Array
(
[0] => 2020-07-05 23:59:59
[1] =>
)
)
)
[ID] => 63
[~ID] => 63
[TIMESTAMP_X] => 17.07.2019 12:41:04
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[ACTIVE] => Y
[~ACTIVE] => Y
[GLOBAL_ACTIVE] => Y
[~GLOBAL_ACTIVE] => Y
[SORT] => 500
[~SORT] => 500
[NAME] => Машинное обучение
[~NAME] => Машинное обучение
[PICTURE] =>
[~PICTURE] =>
[LEFT_MARGIN] => 30
[~LEFT_MARGIN] => 30
[RIGHT_MARGIN] => 31
[~RIGHT_MARGIN] => 31
[DEPTH_LEVEL] => 2
[~DEPTH_LEVEL] => 2
[DESCRIPTION] =>
[~DESCRIPTION] =>
[DESCRIPTION_TYPE] => text
[~DESCRIPTION_TYPE] => text
[SEARCHABLE_CONTENT] => МАШИННОЕ ОБУЧЕНИЕ
[~SEARCHABLE_CONTENT] => МАШИННОЕ ОБУЧЕНИЕ
[CODE] => mashinnoe_obuchenie
[~CODE] => mashinnoe_obuchenie
[XML_ID] =>
[~XML_ID] =>
[TMP_ID] =>
[~TMP_ID] =>
[DETAIL_PICTURE] =>
[~DETAIL_PICTURE] =>
[SOCNET_GROUP_ID] =>
[~SOCNET_GROUP_ID] =>
[LIST_PAGE_URL] => /courses/
[~LIST_PAGE_URL] => /courses/
[SECTION_PAGE_URL] => /courses/mashinnoe_obuchenie/
[~SECTION_PAGE_URL] => /courses/mashinnoe_obuchenie/
[IBLOCK_TYPE_ID] => catalog
[~IBLOCK_TYPE_ID] => catalog
[IBLOCK_CODE] => courses
[~IBLOCK_CODE] => courses
[IBLOCK_EXTERNAL_ID] => clothes_s1
[~IBLOCK_EXTERNAL_ID] => clothes_s1
[EXTERNAL_ID] =>
[~EXTERNAL_ID] =>
[UF_KEYWORDS] =>
[~UF_KEYWORDS] =>
[UF_META_DESCRIPTION] =>
[~UF_META_DESCRIPTION] =>
[UF_BROWSER_TITLE] =>
[~UF_BROWSER_TITLE] =>
[UF_BACKGROUND_IMAGE] =>
[~UF_BACKGROUND_IMAGE] =>
[PATH] => Array
(
[0] => Array
(
[ID] => 17
[~ID] => 17
[CODE] => tekhnologii
[~CODE] => tekhnologii
[XML_ID] =>
[~XML_ID] =>
[EXTERNAL_ID] =>
[~EXTERNAL_ID] =>
[IBLOCK_ID] => 2
[~IBLOCK_ID] => 2
[IBLOCK_SECTION_ID] =>
[~IBLOCK_SECTION_ID] =>
[SORT] => 105
[~SORT] => 105
[NAME] => Информационные технологии
[~NAME] => Информационные технологии
[ACTIVE] => Y
[~ACTIVE] => Y
[DEPTH_LEVEL] => 1
[~DEPTH_LEVEL] => 1
[SECTION_PAGE_URL] => /courses/tekhnologii/
[~SECTION_PAGE_URL] => /courses/tekhnologii/
[IBLOCK_TYPE_ID] => catalog
[~IBLOCK_TYPE_ID] => catalog
[IBLOCK_CODE] => courses
[~IBLOCK_CODE] => courses
[IBLOCK_EXTERNAL_ID] => clothes_s1
[~IBLOCK_EXTERNAL_ID] => clothes_s1
[GLOBAL_ACTIVE] => Y
[~GLOBAL_ACTIVE] => Y
[IPROPERTY_VALUES] => Array
(
[ELEMENT_META_TITLE] => Информационные технологии в Академия Информационных Систем
[ELEMENT_META_KEYWORDS] => Информационные технологии, купить учебный курс Информационные технологии, приобрести учебный курс Информационные технологии, Информационные технологии в Академия Информационных Систем
[ELEMENT_META_DESCRIPTION] => Академия Информационных Систем собраны учебные курсы, где не последняя роль отведена Информационные технологии
[ELEMENT_DETAIL_PICTURE_FILE_TITLE] => картинка Информационные технологии в Академия Информационных Систем
[ELEMENT_DETAIL_PICTURE_FILE_NAME] => informatsionnye-tekhnologii
[ELEMENT_DETAIL_PICTURE_FILE_ALT] => Информационные технологии
[ELEMENT_PREVIEW_PICTURE_FILE_TITLE] => картинка Информационные технологии в Академия Информационных Систем
[ELEMENT_PREVIEW_PICTURE_FILE_ALT] => Информационные технологии
[SECTION_META_KEYWORDS] => Информационные технологии, купить учебный курс Информационные технологии, приобрести учебный курс Информационные технологии, Информационные технологии от Академия Информационных Систем
[ELEMENT_PREVIEW_PICTURE_FILE_NAME] => informatsionnye-tekhnologii
[SECTION_META_TITLE] => Обучение по направлению Информационные технологии
[SECTION_META_DESCRIPTION] => Авторизованные и авторские курсы для пользователей и администраторов по информационным технологиям (ИТ), программной инженерии, разработке ПО, импортозамещению.
[SECTION_PAGE_TITLE] => Курсы по направлению Информационные технологии
)
)
[1] => Array
(
[ID] => 63
[~ID] => 63
[CODE] => mashinnoe_obuchenie
[~CODE] => mashinnoe_obuchenie
[XML_ID] =>
[~XML_ID] =>
[EXTERNAL_ID] =>
[~EXTERNAL_ID] =>
[IBLOCK_ID] => 2
[~IBLOCK_ID] => 2
[IBLOCK_SECTION_ID] => 17
[~IBLOCK_SECTION_ID] => 17
[SORT] => 500
[~SORT] => 500
[NAME] => Машинное обучение
[~NAME] => Машинное обучение
[ACTIVE] => Y
[~ACTIVE] => Y
[DEPTH_LEVEL] => 2
[~DEPTH_LEVEL] => 2
[SECTION_PAGE_URL] => /courses/mashinnoe_obuchenie/
[~SECTION_PAGE_URL] => /courses/mashinnoe_obuchenie/
[IBLOCK_TYPE_ID] => catalog
[~IBLOCK_TYPE_ID] => catalog
[IBLOCK_CODE] => courses
[~IBLOCK_CODE] => courses
[IBLOCK_EXTERNAL_ID] => clothes_s1
[~IBLOCK_EXTERNAL_ID] => clothes_s1
[GLOBAL_ACTIVE] => Y
[~GLOBAL_ACTIVE] => Y
[IPROPERTY_VALUES] => Array
(
[ELEMENT_META_TITLE] => Машинное обучение в Академия Информационных Систем
[ELEMENT_META_KEYWORDS] => Машинное обучение, купить учебный курс Машинное обучение, приобрести учебный курс Машинное обучение, Машинное обучение в Академия Информационных Систем
[ELEMENT_META_DESCRIPTION] => Академия Информационных Систем собраны учебные курсы, где не последняя роль отведена Машинное обучение
[ELEMENT_DETAIL_PICTURE_FILE_TITLE] => картинка Машинное обучение в Академия Информационных Систем
[ELEMENT_DETAIL_PICTURE_FILE_NAME] => mashinnoe-obuchenie
[ELEMENT_DETAIL_PICTURE_FILE_ALT] => Машинное обучение
[ELEMENT_PREVIEW_PICTURE_FILE_TITLE] => картинка Машинное обучение в Академия Информационных Систем
[ELEMENT_PREVIEW_PICTURE_FILE_ALT] => Машинное обучение
[SECTION_META_KEYWORDS] => Машинное обучение, купить учебный курс Машинное обучение, приобрести учебный курс Машинное обучение, Машинное обучение от Академия Информационных Систем
[ELEMENT_PREVIEW_PICTURE_FILE_NAME] => mashinnoe-obuchenie
[SECTION_META_TITLE] => Обучение по направлению Информационные технологии
[SECTION_META_DESCRIPTION] => Авторизованные и авторские курсы для пользователей и администраторов по информационным технологиям (ИТ), программной инженерии, разработке ПО, импортозамещению.
[SECTION_PAGE_TITLE] => Машинное обучение
)
)
)
[IPROPERTY_VALUES] => Array
(
[ELEMENT_META_TITLE] => Машинное обучение в Академия Информационных Систем
[ELEMENT_META_KEYWORDS] => Машинное обучение, купить учебный курс Машинное обучение, приобрести учебный курс Машинное обучение, Машинное обучение в Академия Информационных Систем
[ELEMENT_META_DESCRIPTION] => Академия Информационных Систем собраны учебные курсы, где не последняя роль отведена Машинное обучение
[ELEMENT_DETAIL_PICTURE_FILE_TITLE] => картинка Машинное обучение в Академия Информационных Систем
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[SECTION_META_KEYWORDS] => Машинное обучение, купить учебный курс Машинное обучение, приобрести учебный курс Машинное обучение, Машинное обучение от Академия Информационных Систем
[ELEMENT_PREVIEW_PICTURE_FILE_NAME] => mashinnoe-obuchenie
[SECTION_META_TITLE] => Обучение по направлению Информационные технологии
[SECTION_META_DESCRIPTION] => Авторизованные и авторские курсы для пользователей и администраторов по информационным технологиям (ИТ), программной инженерии, разработке ПО, импортозамещению.
[SECTION_PAGE_TITLE] => Машинное обучение
)
[BACKGROUND_IMAGE] =>
[NAV_STRING] =>
[NAV_CACHED_DATA] =>
[NAV_RESULT] => CIBlockResult Object
(
[arIBlockMultProps] => Array
(
)
[arIBlockConvProps] => Array
(
[PROPERTY_DATE_VALUE] => Array
(
[ConvertFromDB] => Array
(
[0] => CIBlockPropertyDateTime
[1] => ConvertFromDB
)
[PROPERTY] => Array
(
[ID] => DATE
[TIMESTAMP_X] => 2019-02-18 12:43:36
[IBLOCK_ID] => 2
[NAME] => Дата начало проведения
[ACTIVE] => Y
[SORT] => 5
[CODE] => DATE
[DEFAULT_VALUE] =>
[PROPERTY_TYPE] => S
[ROW_COUNT] => 1
[COL_COUNT] => 30
[LIST_TYPE] => L
[MULTIPLE] => N
[XML_ID] =>
[FILE_TYPE] =>
[MULTIPLE_CNT] => 5
[TMP_ID] =>
[LINK_IBLOCK_ID] => 0
[WITH_DESCRIPTION] => N
[SEARCHABLE] => N
[FILTRABLE] => N
[IS_REQUIRED] => N
[VERSION] => 1
[USER_TYPE] => DateTime
[USER_TYPE_SETTINGS] =>
[HINT] =>
[ORIG_ID] => 47
[IS_CODE_UNIQUE] => 1
[IS_VERSION_MIXED] =>
)
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[arIBlockAllProps] => Array
(
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[arIBlockNumProps] => Array
(
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[arIBlockLongProps] => Array
(
)
[nInitialSize] =>
[table_id] =>
[strDetailUrl] => /courses/#SECTION_CODE#/#ELEMENT_CODE#/
[strSectionUrl] =>
[strListUrl] =>
[arSectionContext] =>
[bIBlockSection] =>
[nameTemplate] =>
[_LAST_IBLOCK_ID] => 2
[_FILTER_IBLOCK_ID] => Array
(
[2] => 1
)
[result] => mysqli_result Object
(
[current_field] => 0
[field_count] => 59
[lengths] =>
[num_rows] => 3
[type] => 0
)
[arResult] => Array
(
[0] => Array
(
[ID] => 1285
[IBLOCK_ID] => 2
[CODE] => osnovy_mashinnogo_obucheniya_i_neyronnykh_setey
[XML_ID] => 1285
[NAME] => Основы машинного обучения и нейронных сетей
[ACTIVE] => Y
[DATE_ACTIVE_FROM] =>
[DATE_ACTIVE_TO] =>
[SORT] => 500
[PREVIEW_TEXT] =>
Программа предназначена для управленцев среднего звена и выше. Рассматриваются основы работы с данными, а также роли в команде, занимающийся такими проектами. Дается базовое представление об основных этапах работы, построении и верификации моделей, а также сценариям использования результатов. Отдельное внимание уделено современному инструментарию и лабораторным работам.
[PREVIEW_TEXT_TYPE] => html
[DETAIL_TEXT] =>
[DETAIL_TEXT_TYPE] => text
[DATE_CREATE] => 20.06.2019 16:21:58
[CREATED_BY] => 9
[TAGS] =>
[TIMESTAMP_X] => 23.04.2020 17:32:31
[MODIFIED_BY] => 8
[IBLOCK_SECTION_ID] => 61
[DETAIL_PAGE_URL] => #SITE_DIR#/courses/#SECTION_CODE#/#ELEMENT_CODE#/
[DETAIL_PICTURE] =>
[PREVIEW_PICTURE] =>
[LANG_DIR] => /en/
[PROPERTY_DATE_VALUE] => 2020-08-06 13:18:00
[PROPERTY_DATE_VALUE_ID] => 65463
[EXTERNAL_ID] => 1285
[IBLOCK_TYPE_ID] => catalog
[IBLOCK_CODE] => courses
[IBLOCK_EXTERNAL_ID] => clothes_s1
[LID] => s2
[CATALOG_QUANTITY] => 0
[CATALOG_QUANTITY_RESERVED] => 0
[CATALOG_QUANTITY_TRACE] => N
[CATALOG_QUANTITY_TRACE_ORIG] => D
[CATALOG_CAN_BUY_ZERO] => Y
[CATALOG_CAN_BUY_ZERO_ORIG] => D
[CATALOG_NEGATIVE_AMOUNT_TRACE] => Y
[CATALOG_NEGATIVE_AMOUNT_ORIG] => D
[CATALOG_SUBSCRIBE] => Y
[CATALOG_SUBSCRIBE_ORIG] => D
[CATALOG_AVAILABLE] => Y
[CATALOG_WEIGHT] => 0
[CATALOG_WIDTH] =>
[CATALOG_LENGTH] =>
[CATALOG_HEIGHT] =>
[CATALOG_MEASURE] => 5
[CATALOG_VAT] =>
[CATALOG_VAT_ID] =>
[CATALOG_VAT_INCLUDED] => N
[CATALOG_PRICE_TYPE] => S
[CATALOG_RECUR_SCHEME_TYPE] => D
[CATALOG_RECUR_SCHEME_LENGTH] =>
[CATALOG_TRIAL_PRICE_ID] =>
[CATALOG_WITHOUT_ORDER] => N
[CATALOG_SELECT_BEST_PRICE] => N
[CATALOG_PURCHASING_PRICE] =>
[CATALOG_PURCHASING_CURRENCY] =>
[CATALOG_TYPE] => 1
[CATALOG_BUNDLE] => N
)
[1] => Array
(
[ID] => 1283
[IBLOCK_ID] => 2
[CODE] => primenenie_tekhnologiy_neyronnykh_setey_i_iskusstvennogo_intellekta_pri_rabote_s_big_data_uyazvimost
[XML_ID] => 1283
[NAME] => Применение технологий нейронных сетей и искусственного интеллекта при работе с Big Data. Уязвимости и способы защиты
[ACTIVE] => Y
[DATE_ACTIVE_FROM] =>
[DATE_ACTIVE_TO] =>
[SORT] => 500
[PREVIEW_TEXT] =>
Современные компании с большим количеством пользователей и клиентов имеют дело с огромными объемами данный. Традиционные парадигмы обработки/хранения/предоставления/анализа данных не подходят, когда объемы данных составляют сотни терабайт и они являются неструктуарованными. И здесь приходят на помощь технологии Big Data и машинного обучения, которые позволяют с использованием ряда фреймворков разработанных Google и Apache обеспечить работу и анализ таких объемов информации в заданные временные интервалы. К сожалению многие компании реализующие такие технологии не задумываются о вопросах безопасности в результате чего это приводит к утечкам и скандалам.
[PREVIEW_TEXT_TYPE] => html
[DETAIL_TEXT] =>
[DETAIL_TEXT_TYPE] => text
[DATE_CREATE] => 20.06.2019 14:39:26
[CREATED_BY] => 9
[TAGS] =>
[TIMESTAMP_X] => 20.05.2020 16:10:27
[MODIFIED_BY] => 8
[IBLOCK_SECTION_ID] => 61
[DETAIL_PAGE_URL] => #SITE_DIR#/courses/#SECTION_CODE#/#ELEMENT_CODE#/
[DETAIL_PICTURE] =>
[PREVIEW_PICTURE] =>
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</ul>
<ul>
<li>
<h3><span style="font-size: 11pt;"> Типовые ML задачи;</span></h3>
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<h3><span style="font-size: 11pt;">Обучение с учителем: классы алгоритмов и разбор конкретных алгоритмов;</span></h3>
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<li>
<h3><span style="font-size: 11pt;">Повышение и понижение размерности</span></h3>
</li>
</ul>
<ul>
<li>
<h3><span style="font-size: 11pt;">Демонстрация: создание модели (предсказание цены)</span></h3>
</li>
<li>
<h3><span style="font-size: 11pt;"> Data Science - процесс:</span></h3>
<ul>
<li>
<h3><span style="font-size: 10pt;">Поиск и источники данных;</span></h3>
</li>
<li>
<h3><span style="font-size: 10pt;">Препроцессинг данных;</span></h3>
</li>
<li>
<h3><span style="font-size: 10pt;">Дизайн признаков (feature engineering);</span></h3>
</li>
<li>
<h3><span style="font-size: 10pt;">Выбор подходящего ML-алгоритма;</span></h3>
</li>
<li>
<h3><span style="font-size: 10pt;"> Тренировка модели.</span></h3>
</li>
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<li>
<h3><span style="font-size: 11pt;">Оценка результата:</span></h3>
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<li>
<h3><span style="font-size: 10pt;"> Базовые метрики;</span></h3>
</li>
</ul>
<ul>
<li>
<h3><span style="font-size: 10pt;"> Агрегирующие метрики.</span></h3>
</li>
</ul>
</li>
<li>
<h3><span style="font-size: 11pt;">Обогащение данных:</span></h3>
<ul>
<li>
<h3><span style="font-size: 10pt;">Открытые источники;</span></h3>
</li>
</ul>
<ul>
<li>
<h3><span style="font-size: 10pt;">Внутренние ресурсы.</span></h3>
</li>
</ul>
</li>
<li>
<h3><span style="font-size: 11pt;">Data science инструменты: основные языки программирования, ML-фреймворки и облачные сервисы</span></h3>
</li>
</ul>
<ul>
<li>
<h3><span style="font-size: 11pt;">Практика: создание ML-модели с использованием облачного сервиса.</span></h3>
</li>
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</li>
</ul>
<ul>
<li>
<h3><span style="font-size: 11pt;">Основы нейронных сетей. Персептрон;</span></h3>
</li>
</ul>
<ul>
<li>
<h3><span style="font-size: 11pt;">Современные нейросетевые архитектуры;</span></h3>
</li>
</ul>
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<li>
<h3><span style="font-size: 11pt;">Сверточные нейронные сети;</span></h3>
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<h3><span style="font-size: 11pt;">Рекуррентные нейронные сети;</span></h3>
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<h3><span style="font-size: 11pt;">Автоэнкодеры;</span></h3>
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</ul>
<ul>
<li>
<h3><span style="font-size: 11pt;">Data science инструменты: DL-фреймворки;</span></h3>
</li>
</ul>
<ul>
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<h3><span style="font-size: 11pt;"> Практика/демонстрация:</span></h3>
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<li>
<h3><span style="font-size: 10pt;">Основы python;</span></h3>
</li>
</ul>
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<h3><span style="font-size: 10pt;"> Самостоятельная лабораторная работа (распознавание изображений с помощью нейронных сетей);</span></h3>
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<h3><span style="font-size: 10pt;">Обучение при распознавании изображений с помощью нейронных
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</li>
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<li>
<h3><span style="font-size: 11pt;">Команда</span></h3>
</li>
</ul>
<ul>
<li>
<h3><span style="font-size: 11pt;">Методологии (CRISP)</span></h3>
</li>
</ul>
<ul>
<li>
<h3><span style="font-size: 11pt;">Интеграция в существующие процессы компании</span></h3>
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[VERSION] => 1
[USER_TYPE] =>
[USER_TYPE_SETTINGS] =>
[HINT] =>
[~NAME] => Заголовок окна браузера
[~DEFAULT_VALUE] =>
[VALUE_ENUM] =>
[VALUE_XML_ID] =>
[VALUE_SORT] =>
[VALUE] =>
[PROPERTY_VALUE_ID] =>
[DESCRIPTION] =>
[~DESCRIPTION] =>
[~VALUE] =>
)
[KEYWORDS] => Array
(
[ID] => 3
[IBLOCK_ID] => 2
[NAME] => Ключевые слова
[ACTIVE] => Y
[SORT] => 125
[CODE] => KEYWORDS
[DEFAULT_VALUE] =>
[PROPERTY_TYPE] => S
[ROW_COUNT] => 1
[COL_COUNT] => 50
[LIST_TYPE] => L
[MULTIPLE] => N
[XML_ID] => 335
[FILE_TYPE] =>
[MULTIPLE_CNT] => 5
[LINK_IBLOCK_ID] => 0
[WITH_DESCRIPTION] => N
[SEARCHABLE] => N
[FILTRABLE] => N
[IS_REQUIRED] => N
[VERSION] => 1
[USER_TYPE] =>
[USER_TYPE_SETTINGS] =>
[HINT] =>
[~NAME] => Ключевые слова
[~DEFAULT_VALUE] =>
[VALUE_ENUM] =>
[VALUE_XML_ID] =>
[VALUE_SORT] =>
[VALUE] =>
[PROPERTY_VALUE_ID] =>
[DESCRIPTION] =>
[~DESCRIPTION] =>
[~VALUE] =>
)
[META_DESCRIPTION] => Array
(
[ID] => 4
[IBLOCK_ID] => 2
[NAME] => Мета-описание
[ACTIVE] => Y
[SORT] => 130
[CODE] => META_DESCRIPTION
[DEFAULT_VALUE] =>
[PROPERTY_TYPE] => S
[ROW_COUNT] => 3
[COL_COUNT] => 38
[LIST_TYPE] => L
[MULTIPLE] => N
[XML_ID] => 337
[FILE_TYPE] =>
[MULTIPLE_CNT] => 5
[LINK_IBLOCK_ID] => 0
[WITH_DESCRIPTION] => N
[SEARCHABLE] => N
[FILTRABLE] => N
[IS_REQUIRED] => N
[VERSION] => 1
[USER_TYPE] =>
[USER_TYPE_SETTINGS] =>
[HINT] =>
[~NAME] => Мета-описание
[~DEFAULT_VALUE] =>
[VALUE_ENUM] =>
[VALUE_XML_ID] =>
[VALUE_SORT] =>
[VALUE] =>
[PROPERTY_VALUE_ID] =>
[DESCRIPTION] =>
[~DESCRIPTION] =>
[~VALUE] =>
)
[NEWPRODUCT] => Array
(
[ID] => 6
[IBLOCK_ID] => 2
[NAME] => Новинка
[ACTIVE] => Y
[SORT] => 210
[CODE] => NEWPRODUCT
[DEFAULT_VALUE] =>
[PROPERTY_TYPE] => L
[ROW_COUNT] => 1
[COL_COUNT] => 30
[LIST_TYPE] => C
[MULTIPLE] => N
[XML_ID] => af49d0e309af4fac506a8a228000efc5
[FILE_TYPE] =>
[MULTIPLE_CNT] => 5
[LINK_IBLOCK_ID] => 0
[WITH_DESCRIPTION] => N
[SEARCHABLE] => Y
[FILTRABLE] => Y
[IS_REQUIRED] => N
[VERSION] => 1
[USER_TYPE] =>
[USER_TYPE_SETTINGS] =>
[HINT] =>
[~NAME] => Новинка
[~DEFAULT_VALUE] =>
[VALUE_ENUM] =>
[VALUE_XML_ID] =>
[VALUE_SORT] =>
[VALUE] =>
[PROPERTY_VALUE_ID] =>
[DESCRIPTION] =>
[~DESCRIPTION] =>
[~VALUE] =>
[VALUE_ENUM_ID] =>
)
[SALELEADER] => Array
(
[ID] => 7
[IBLOCK_ID] => 2
[NAME] => Лидер продаж
[ACTIVE] => Y
[SORT] => 220
[CODE] => SALELEADER
[DEFAULT_VALUE] =>
[PROPERTY_TYPE] => L
[ROW_COUNT] => 1
[COL_COUNT] => 30
[LIST_TYPE] => C
[MULTIPLE] => N
[XML_ID] => 103
[FILE_TYPE] =>
[MULTIPLE_CNT] => 5
[LINK_IBLOCK_ID] => 0
[WITH_DESCRIPTION] => N
[SEARCHABLE] => N
[FILTRABLE] => Y
[IS_REQUIRED] => N
[VERSION] => 1
[USER_TYPE] =>
[USER_TYPE_SETTINGS] =>
[HINT] =>
[~NAME] => Лидер продаж
[~DEFAULT_VALUE] =>
[VALUE_ENUM] =>
[VALUE_XML_ID] =>
[VALUE_SORT] =>
[VALUE] =>
[PROPERTY_VALUE_ID] =>
[DESCRIPTION] =>
[~DESCRIPTION] =>
[~VALUE] =>
[VALUE_ENUM_ID] =>
)
[SPECIALOFFER] => Array
(
[ID] => 8
[IBLOCK_ID] => 2
[NAME] => Рекомендуемый курс раздела
[ACTIVE] => Y
[SORT] => 230
[CODE] => SPECIALOFFER
[DEFAULT_VALUE] =>
[PROPERTY_TYPE] => L
[ROW_COUNT] => 1
[COL_COUNT] => 30
[LIST_TYPE] => C
[MULTIPLE] => N
[XML_ID] => 5
[FILE_TYPE] =>
[MULTIPLE_CNT] => 5
[LINK_IBLOCK_ID] => 0
[WITH_DESCRIPTION] => N
[SEARCHABLE] => Y
[FILTRABLE] => Y
[IS_REQUIRED] => N
[VERSION] => 1
[USER_TYPE] =>
[USER_TYPE_SETTINGS] =>
[HINT] =>
[~NAME] => Рекомендуемый курс раздела
[~DEFAULT_VALUE] =>
[VALUE_ENUM] =>
[VALUE_XML_ID] =>
[VALUE_SORT] =>
[VALUE] =>
[PROPERTY_VALUE_ID] =>
[DESCRIPTION] =>
[~DESCRIPTION] =>
[~VALUE] =>
[VALUE_ENUM_ID] =>
)
[MANAGER] => Array
(
[ID] => 75
[IBLOCK_ID] => 2
[NAME] => Менеджер
[ACTIVE] => Y
[SORT] => 305
[CODE] => MANAGER
[DEFAULT_VALUE] =>
[PROPERTY_TYPE] => E
[ROW_COUNT] => 1
[COL_COUNT] => 30
[LIST_TYPE] => L
[MULTIPLE] => N
[XML_ID] =>
[FILE_TYPE] =>
[MULTIPLE_CNT] => 5
[LINK_IBLOCK_ID] => 14
[WITH_DESCRIPTION] => N
[SEARCHABLE] => N
[FILTRABLE] => N
[IS_REQUIRED] => N
[VERSION] => 1
[USER_TYPE] =>
[USER_TYPE_SETTINGS] =>
[HINT] =>
[~NAME] => Менеджер
[~DEFAULT_VALUE] =>
[VALUE_ENUM] =>
[VALUE_XML_ID] =>
[VALUE_SORT] =>
[VALUE] => 1586
[PROPERTY_VALUE_ID] => 31656
[DESCRIPTION] =>
[~VALUE] => 1586
[~DESCRIPTION] =>
)
[ARTNUMBER] => Array
(
[ID] => 9
[IBLOCK_ID] => 2
[NAME] => Артикул, Код
[ACTIVE] => Y
[SORT] => 310
[CODE] => ARTNUMBER
[DEFAULT_VALUE] =>
[PROPERTY_TYPE] => S
[ROW_COUNT] => 1
[COL_COUNT] => 30
[LIST_TYPE] => L
[MULTIPLE] => N
[XML_ID] => 10
[FILE_TYPE] =>
[MULTIPLE_CNT] => 5
[LINK_IBLOCK_ID] => 0
[WITH_DESCRIPTION] => N
[SEARCHABLE] => Y
[FILTRABLE] => N
[IS_REQUIRED] => N
[VERSION] => 1
[USER_TYPE] =>
[USER_TYPE_SETTINGS] =>
[HINT] =>
[~NAME] => Артикул, Код
[~DEFAULT_VALUE] =>
[VALUE_ENUM] =>
[VALUE_XML_ID] =>
[VALUE_SORT] =>
[VALUE] => DO002
[PROPERTY_VALUE_ID] => 52794
[DESCRIPTION] =>
[~VALUE] => DO002
[~DESCRIPTION] =>
)
[RECOMMEND] => Array
(
[ID] => 14
[IBLOCK_ID] => 2
[NAME] => С этим курсом рекомендуем
[ACTIVE] => Y
[SORT] => 320
[CODE] => RECOMMEND
[DEFAULT_VALUE] =>
[PROPERTY_TYPE] => E
[ROW_COUNT] => 1
[COL_COUNT] => 30
[LIST_TYPE] => L
[MULTIPLE] => Y
[XML_ID] => 461
[FILE_TYPE] =>
[MULTIPLE_CNT] => 4
[LINK_IBLOCK_ID] => 2
[WITH_DESCRIPTION] => N
[SEARCHABLE] => N
[FILTRABLE] => N
[IS_REQUIRED] => N
[VERSION] => 1
[USER_TYPE] =>
[USER_TYPE_SETTINGS] =>
[HINT] =>
[~NAME] => С этим курсом рекомендуем
[~DEFAULT_VALUE] =>
[VALUE_ENUM] =>
[VALUE_XML_ID] =>
[VALUE_SORT] =>
[VALUE] => Array
(
[0] => 1284
[1] => 1283
)
[PROPERTY_VALUE_ID] => Array
(
[0] => 31711
[1] => 31712
)
[DESCRIPTION] => Array
(
[0] =>
[1] =>
)
[~VALUE] => Array
(
[0] => 1284
[1] => 1283
)
[~DESCRIPTION] => Array
(
[0] =>
[1] =>
)
)
[BONUS] => Array
(
[ID] => 91
[IBLOCK_ID] => 2
[NAME] => Бонус
[ACTIVE] => Y
[SORT] => 330
[CODE] => BONUS
[DEFAULT_VALUE] =>
[PROPERTY_TYPE] => N
[ROW_COUNT] => 1
[COL_COUNT] => 30
[LIST_TYPE] => L
[MULTIPLE] => N
[XML_ID] =>
[FILE_TYPE] =>
[MULTIPLE_CNT] => 5
[LINK_IBLOCK_ID] => 0
[WITH_DESCRIPTION] => N
[SEARCHABLE] => N
[FILTRABLE] => N
[IS_REQUIRED] => N
[VERSION] => 1
[USER_TYPE] =>
[USER_TYPE_SETTINGS] =>
[HINT] =>
[~NAME] => Бонус
[~DEFAULT_VALUE] =>
[VALUE_ENUM] =>
[VALUE_XML_ID] =>
[VALUE_SORT] =>
[VALUE] =>
[PROPERTY_VALUE_ID] =>
[DESCRIPTION] =>
[~DESCRIPTION] =>
[~VALUE] =>
)
[NUMBER_REVIEWS] => Array
(
[ID] => 15
[IBLOCK_ID] => 2
[NAME] => Количество отзывов
[ACTIVE] => Y
[SORT] => 350
[CODE] => NUMBER_REVIEWS
[DEFAULT_VALUE] =>
[PROPERTY_TYPE] => N
[ROW_COUNT] => 1
[COL_COUNT] => 30
[LIST_TYPE] => L
[MULTIPLE] => N
[XML_ID] => 37
[FILE_TYPE] =>
[MULTIPLE_CNT] => 5
[LINK_IBLOCK_ID] => 0
[WITH_DESCRIPTION] => N
[SEARCHABLE] => N
[FILTRABLE] => N
[IS_REQUIRED] => N
[VERSION] => 1
[USER_TYPE] =>
[USER_TYPE_SETTINGS] =>
[HINT] =>
[~NAME] => Количество отзывов
[~DEFAULT_VALUE] =>
[VALUE_ENUM] =>
[VALUE_XML_ID] =>
[VALUE_SORT] =>
[VALUE] =>
[PROPERTY_VALUE_ID] =>
[DESCRIPTION] =>
[~DESCRIPTION] =>
[~VALUE] =>
)
[BLOG_POST_ID] => Array
(
[ID] => 50
[IBLOCK_ID] => 2
[NAME] => ID поста блога для комментариев
[ACTIVE] => Y
[SORT] => 500
[CODE] => BLOG_POST_ID
[DEFAULT_VALUE] =>
[PROPERTY_TYPE] => N
[ROW_COUNT] => 1
[COL_COUNT] => 30
[LIST_TYPE] => L
[MULTIPLE] => N
[XML_ID] =>
[FILE_TYPE] =>
[MULTIPLE_CNT] => 5
[LINK_IBLOCK_ID] => 0
[WITH_DESCRIPTION] => N
[SEARCHABLE] => N
[FILTRABLE] => N
[IS_REQUIRED] => N
[VERSION] => 1
[USER_TYPE] =>
[USER_TYPE_SETTINGS] =>
[HINT] =>
[~NAME] => ID поста блога для комментариев
[~DEFAULT_VALUE] =>
[VALUE_ENUM] =>
[VALUE_XML_ID] =>
[VALUE_SORT] =>
[VALUE] =>
[PROPERTY_VALUE_ID] =>
[DESCRIPTION] =>
[~DESCRIPTION] =>
[~VALUE] =>
)
[BLOG_COMMENTS_CNT] => Array
(
[ID] => 51
[IBLOCK_ID] => 2
[NAME] => Количество комментариев
[ACTIVE] => Y
[SORT] => 500
[CODE] => BLOG_COMMENTS_CNT
[DEFAULT_VALUE] =>
[PROPERTY_TYPE] => N
[ROW_COUNT] => 1
[COL_COUNT] => 30
[LIST_TYPE] => L
[MULTIPLE] => N
[XML_ID] =>
[FILE_TYPE] =>
[MULTIPLE_CNT] => 5
[LINK_IBLOCK_ID] => 0
[WITH_DESCRIPTION] => N
[SEARCHABLE] => N
[FILTRABLE] => N
[IS_REQUIRED] => N
[VERSION] => 1
[USER_TYPE] =>
[USER_TYPE_SETTINGS] =>
[HINT] =>
[~NAME] => Количество комментариев
[~DEFAULT_VALUE] =>
[VALUE_ENUM] =>
[VALUE_XML_ID] =>
[VALUE_SORT] =>
[VALUE] =>
[PROPERTY_VALUE_ID] =>
[DESCRIPTION] =>
[~DESCRIPTION] =>
[~VALUE] =>
)
[BUTTON_CODE] => Array
(
[ID] => 100
[IBLOCK_ID] => 2
[NAME] => Код кнопки
[ACTIVE] => Y
[SORT] => 500
[CODE] => BUTTON_CODE
[DEFAULT_VALUE] => Array
(
[TEXT] =>
[TYPE] => HTML
)
[PROPERTY_TYPE] => S
[ROW_COUNT] => 1
[COL_COUNT] => 30
[LIST_TYPE] => L
[MULTIPLE] => N
[XML_ID] =>
[FILE_TYPE] =>
[MULTIPLE_CNT] => 5
[LINK_IBLOCK_ID] => 0
[WITH_DESCRIPTION] => N
[SEARCHABLE] => N
[FILTRABLE] => N
[IS_REQUIRED] => N
[VERSION] => 1
[USER_TYPE] => HTML
[USER_TYPE_SETTINGS] => Array
(
[height] => 200
)
[HINT] =>
[~NAME] => Код кнопки
[~DEFAULT_VALUE] => Array
(
[TEXT] =>
[TYPE] => HTML
)
[VALUE_ENUM] =>
[VALUE_XML_ID] =>
[VALUE_SORT] =>
[VALUE] => Array
(
[TYPE] => HTML
[TEXT] => <script id="bx24_form_button" data-skip-moving="true">
(function(w,d,u,b){w['Bitrix24FormObject']=b;w[b] = w[b] || function(){arguments[0].ref=u;
(w[b].forms=w[b].forms||[]).push(arguments[0])};
if(w[b]['forms']) return;
var s=d.createElement('script');s.async=1;s.src=u+'?'+(1*new Date());
var h=d.getElementsByTagName('script')[0];h.parentNode.insertBefore(s,h);
})(window,document,'https://b24ais.ru/bitrix/js/crm/form_loader.js','b24form');
b24form({"id":"9","lang":"ru","sec":"m60a01","type":"button","click":""});
</script><button class="b24-web-form-popup-btn-9"> Оставить заявку</button>
)
[PROPERTY_VALUE_ID] => 31717
[DESCRIPTION] =>
[~VALUE] => Array
(
[TYPE] => HTML
[TEXT] =>
)
[~DESCRIPTION] =>
)
[DURATION_FOR_PROGRAMM] => Array
(
[ID] => 102
[IBLOCK_ID] => 2
[NAME] => Продолжительность для программы
[ACTIVE] => Y
[SORT] => 500
[CODE] => DURATION_FOR_PROGRAMM
[DEFAULT_VALUE] =>
[PROPERTY_TYPE] => S
[ROW_COUNT] => 1
[COL_COUNT] => 30
[LIST_TYPE] => L
[MULTIPLE] => Y
[XML_ID] =>
[FILE_TYPE] =>
[MULTIPLE_CNT] => 5
[LINK_IBLOCK_ID] => 0
[WITH_DESCRIPTION] => N
[SEARCHABLE] => N
[FILTRABLE] => N
[IS_REQUIRED] => N
[VERSION] => 1
[USER_TYPE] =>
[USER_TYPE_SETTINGS] =>
[HINT] =>
[~NAME] => Продолжительность для программы
[~DEFAULT_VALUE] =>
[VALUE_ENUM] =>
[VALUE_XML_ID] =>
[VALUE_SORT] =>
[VALUE] => Array
(
[0] => 8 ч.
[1] => 4 ч.
[2] => 4 ч.
)
[PROPERTY_VALUE_ID] => Array
(
[0] => 31660
[1] => 31668
[2] => 31669
)
[DESCRIPTION] => Array
(
[0] =>
[1] =>
[2] =>
)
[~VALUE] => Array
(
[0] => 8 ч.
[1] => 4 ч.
[2] => 4 ч.
)
[~DESCRIPTION] => Array
(
[0] =>
[1] =>
[2] =>
)
)
[KP_BUTTON_CODE] => Array
(
[ID] => 106
[IBLOCK_ID] => 2
[NAME] => Код формы коммерческого предложения
[ACTIVE] => Y
[SORT] => 500
[CODE] => KP_BUTTON_CODE
[DEFAULT_VALUE] => Array
(
[TEXT] =>
[TYPE] => HTML
)
[PROPERTY_TYPE] => S
[ROW_COUNT] => 1
[COL_COUNT] => 30
[LIST_TYPE] => L
[MULTIPLE] => N
[XML_ID] =>
[FILE_TYPE] =>
[MULTIPLE_CNT] => 5
[LINK_IBLOCK_ID] => 0
[WITH_DESCRIPTION] => N
[SEARCHABLE] => N
[FILTRABLE] => N
[IS_REQUIRED] => N
[VERSION] => 1
[USER_TYPE] => HTML
[USER_TYPE_SETTINGS] => Array
(
[height] => 200
)
[HINT] =>
[~NAME] => Код формы коммерческого предложения
[~DEFAULT_VALUE] => Array
(
[TEXT] =>
[TYPE] => HTML
)
[VALUE_ENUM] =>
[VALUE_XML_ID] =>
[VALUE_SORT] =>
[VALUE] => Array
(
[TYPE] => HTML
[TEXT] => <script id="bx24_form_button" data-skip-moving="true">
(function(w,d,u,b){w['Bitrix24FormObject']=b;w[b] = w[b] || function(){arguments[0].ref=u;
(w[b].forms=w[b].forms||[]).push(arguments[0])};
if(w[b]['forms']) return;
var s=d.createElement('script');s.async=1;s.src=u+'?'+(1*new Date());
var h=d.getElementsByTagName('script')[0];h.parentNode.insertBefore(s,h);
})(window,document,'https://b24ais.ru/bitrix/js/crm/form_loader.js','b24form');
b24form({"id":"29","lang":"ru","sec":"3o8k29","type":"button","click":""});
</script><button class="b24-web-form-popup-btn-29"> Получить коммерческое предложение </button>
)
[PROPERTY_VALUE_ID] => 31718
[DESCRIPTION] =>
[~VALUE] => Array
(
[TYPE] => HTML
[TEXT] =>
)
[~DESCRIPTION] =>
)
[VENDOR] => Array
(
[ID] => 107
[IBLOCK_ID] => 2
[NAME] => Вендор
[ACTIVE] => Y
[SORT] => 500
[CODE] => VENDOR
[DEFAULT_VALUE] =>
[PROPERTY_TYPE] => E
[ROW_COUNT] => 1
[COL_COUNT] => 30
[LIST_TYPE] => L
[MULTIPLE] => N
[XML_ID] =>
[FILE_TYPE] =>
[MULTIPLE_CNT] => 5
[LINK_IBLOCK_ID] => 27
[WITH_DESCRIPTION] => N
[SEARCHABLE] => N
[FILTRABLE] => N
[IS_REQUIRED] => N
[VERSION] => 1
[USER_TYPE] =>
[USER_TYPE_SETTINGS] =>
[HINT] =>
[~NAME] => Вендор
[~DEFAULT_VALUE] =>
[VALUE_ENUM] =>
[VALUE_XML_ID] =>
[VALUE_SORT] =>
[VALUE] => 1240
[PROPERTY_VALUE_ID] => 31661
[DESCRIPTION] =>
[~VALUE] => 1240
[~DESCRIPTION] =>
)
[DISTANCE_LINK] => Array
(
[ID] => 108
[IBLOCK_ID] => 2
[NAME] => Ссылка для кнопки "дистанционное участие" промо - круса
[ACTIVE] => Y
[SORT] => 500
[CODE] => DISTANCE_LINK
[DEFAULT_VALUE] =>
[PROPERTY_TYPE] => S
[ROW_COUNT] => 1
[COL_COUNT] => 30
[LIST_TYPE] => L
[MULTIPLE] => N
[XML_ID] =>
[FILE_TYPE] =>
[MULTIPLE_CNT] => 5
[LINK_IBLOCK_ID] => 0
[WITH_DESCRIPTION] => N
[SEARCHABLE] => N
[FILTRABLE] => N
[IS_REQUIRED] => N
[VERSION] => 1
[USER_TYPE] =>
[USER_TYPE_SETTINGS] =>
[HINT] =>
[~NAME] => Ссылка для кнопки "дистанционное участие" промо - круса
[~DEFAULT_VALUE] =>
[VALUE_ENUM] =>
[VALUE_XML_ID] =>
[VALUE_SORT] =>
[VALUE] =>
[PROPERTY_VALUE_ID] =>
[DESCRIPTION] =>
[~DESCRIPTION] =>
[~VALUE] =>
)
[IS_PROMO] => Array
(
[ID] => 109
[IBLOCK_ID] => 2
[NAME] => Является промо-курсом
[ACTIVE] => Y
[SORT] => 500
[CODE] => IS_PROMO
[DEFAULT_VALUE] =>
[PROPERTY_TYPE] => L
[ROW_COUNT] => 1
[COL_COUNT] => 30
[LIST_TYPE] => C
[MULTIPLE] => N
[XML_ID] =>
[FILE_TYPE] =>
[MULTIPLE_CNT] => 5
[LINK_IBLOCK_ID] => 0
[WITH_DESCRIPTION] => N
[SEARCHABLE] => N
[FILTRABLE] => N
[IS_REQUIRED] => N
[VERSION] => 1
[USER_TYPE] =>
[USER_TYPE_SETTINGS] =>
[HINT] =>
[~NAME] => Является промо-курсом
[~DEFAULT_VALUE] =>
[VALUE_ENUM] =>
[VALUE_XML_ID] =>
[VALUE_SORT] =>
[VALUE] =>
[PROPERTY_VALUE_ID] =>
[DESCRIPTION] =>
[~DESCRIPTION] =>
[~VALUE] =>
[VALUE_ENUM_ID] =>
)
[TITLE_EVENT] => Array
(
[ID] => 111
[IBLOCK_ID] => 2
[NAME] => Заголовки к полям "Программа мероприятия" (в том же порядке)
[ACTIVE] => Y
[SORT] => 500
[CODE] => TITLE_EVENT
[DEFAULT_VALUE] =>
[PROPERTY_TYPE] => S
[ROW_COUNT] => 1
[COL_COUNT] => 30
[LIST_TYPE] => L
[MULTIPLE] => Y
[XML_ID] =>
[FILE_TYPE] =>
[MULTIPLE_CNT] => 5
[LINK_IBLOCK_ID] => 0
[WITH_DESCRIPTION] => N
[SEARCHABLE] => N
[FILTRABLE] => N
[IS_REQUIRED] => N
[VERSION] => 1
[USER_TYPE] =>
[USER_TYPE_SETTINGS] =>
[HINT] =>
[~NAME] => Заголовки к полям "Программа мероприятия" (в том же порядке)
[~DEFAULT_VALUE] =>
[VALUE_ENUM] =>
[VALUE_XML_ID] =>
[VALUE_SORT] =>
[VALUE] =>
[PROPERTY_VALUE_ID] =>
[DESCRIPTION] =>
[~DESCRIPTION] =>
[~VALUE] =>
)
[FORM_TRAINING_NEW] => Array
(
[ID] => 112
[IBLOCK_ID] => 2
[NAME] => Форма обучения (новая)
[ACTIVE] => Y
[SORT] => 500
[CODE] => FORM_TRAINING_NEW
[DEFAULT_VALUE] =>
[PROPERTY_TYPE] => L
[ROW_COUNT] => 1
[COL_COUNT] => 30
[LIST_TYPE] => L
[MULTIPLE] => N
[XML_ID] =>
[FILE_TYPE] =>
[MULTIPLE_CNT] => 5
[LINK_IBLOCK_ID] => 0
[WITH_DESCRIPTION] => N
[SEARCHABLE] => N
[FILTRABLE] => N
[IS_REQUIRED] => N
[VERSION] => 1
[USER_TYPE] =>
[USER_TYPE_SETTINGS] =>
[HINT] =>
[~NAME] => Форма обучения (новая)
[~DEFAULT_VALUE] =>
[VALUE_ENUM] => Очно/Дистанционно
[VALUE_XML_ID] => mixed
[VALUE_SORT] => 500
[VALUE] => Очно/Дистанционно
[PROPERTY_VALUE_ID] => 64917
[VALUE_ENUM_ID] => 27
[DESCRIPTION] =>
[~VALUE] => Очно/Дистанционно
[~DESCRIPTION] =>
)
[WEBINAR_RECORDING] => Array
(
[ID] => 122
[IBLOCK_ID] => 2
[NAME] => Запись вебинара
[ACTIVE] => Y
[SORT] => 500
[CODE] => WEBINAR_RECORDING
[DEFAULT_VALUE] =>
[PROPERTY_TYPE] => S
[ROW_COUNT] => 1
[COL_COUNT] => 30
[LIST_TYPE] => L
[MULTIPLE] => N
[XML_ID] =>
[FILE_TYPE] =>
[MULTIPLE_CNT] => 5
[LINK_IBLOCK_ID] => 0
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<h3><span style="font-size: 10pt;">Пакетная и динамическая (batch / real-time) загрузка данных.</span></h3>
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</ul>
<ul>
<li>
<h3><span style="font-size: 10pt;">Типовые задачи аналитики больших данных.</span></h3>
</li>
</ul>
<ul>
<li>
<h3><span style="font-size: 10pt;"> Методы аналитики Big Data. Подход MapReduce.</span></h3>
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</ul>
<ul>
<li>
<h3><span style="font-size: 10pt;">Жизненный цикл аналитики данных: получение и накопление данных, подготовка данных, планирование модели, построение модели, проверка результатов, внедрение.</span></h3>
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<li>Задачи и этапы Data Mining.</li>
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<li>Распределенные вычисления и экосистема Apache Hadoop. Назначение и характеристика компонент Hadoop для хранения и обработки Big Data. </li>
<li>Основные уязвимости компонентов Hadoop и угрозы безопасности платформы.</li>
<li>Подход к моделированию угроз при анализе угроз платформы</li>
<li>Настройка механизмов безопасности для компонентов Hadoop. </li>
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</li>
</ul>
<ul>
<li>
<h3><span style="font-size: 10pt;">Big Data Infrastructure Landscape 2019.</span></h3>
</li>
</ul>
<ul>
<li>
<h3><span style="font-size: 10pt;">Big Data Infrastructure Service Providers 2019.</span></h3>
</li>
</ul>
<ul>
<li>
<h3><span style="font-size: 10pt;">Big Data Analytics Landscape 2019.</span></h3>
</li>
</ul>
<ul>
<li>
<h3><span style="font-size: 10pt;">
Big Data Enterprise Level Applications Landscape 2019.</span></h3>
</li>
</ul>
<ul>
<li>
<h3><span style="font-size: 11pt;">Итоговая аттестация</span></h3>
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[IS_REQUIRED] => N
[VERSION] => 1
[USER_TYPE] =>
[USER_TYPE_SETTINGS] =>
[HINT] =>
[~NAME] => Преподаватели
[~DEFAULT_VALUE] =>
[VALUE_ENUM] =>
[VALUE_XML_ID] =>
[VALUE_SORT] =>
[VALUE] =>
[PROPERTY_VALUE_ID] =>
[DESCRIPTION] =>
[~DESCRIPTION] =>
[~VALUE] =>
)
[HANDOUT] => Array
(
[ID] => 56
[IBLOCK_ID] => 2
[NAME] => Раздаточный материал
[ACTIVE] => Y
[SORT] => 107
[CODE] => HANDOUT
[DEFAULT_VALUE] =>
[PROPERTY_TYPE] => F
[ROW_COUNT] => 1
[COL_COUNT] => 30
[LIST_TYPE] => L
[MULTIPLE] => Y
[XML_ID] =>
[FILE_TYPE] => doc, txt, rtf, pdf
[MULTIPLE_CNT] => 5
[LINK_IBLOCK_ID] => 0
[WITH_DESCRIPTION] => Y
[SEARCHABLE] => N
[FILTRABLE] => N
[IS_REQUIRED] => N
[VERSION] => 1
[USER_TYPE] =>
[USER_TYPE_SETTINGS] =>
[HINT] =>
[~NAME] => Раздаточный материал
[~DEFAULT_VALUE] =>
[VALUE_ENUM] =>
[VALUE_XML_ID] =>
[VALUE_SORT] =>
[VALUE] =>
[PROPERTY_VALUE_ID] =>
[DESCRIPTION] =>
[~DESCRIPTION] =>
[~VALUE] =>
)
[RECEIVED] => Array
(
[ID] => 55
[IBLOCK_ID] => 2
[NAME] => Получаемый документ
[ACTIVE] => Y
[SORT] => 110
[CODE] => RECEIVED
[DEFAULT_VALUE] =>
[PROPERTY_TYPE] => E
[ROW_COUNT] => 1
[COL_COUNT] => 30
[LIST_TYPE] => L
[MULTIPLE] => Y
[XML_ID] =>
[FILE_TYPE] =>
[MULTIPLE_CNT] => 1
[LINK_IBLOCK_ID] => 12
[WITH_DESCRIPTION] => N
[SEARCHABLE] => N
[FILTRABLE] => N
[IS_REQUIRED] => N
[VERSION] => 1
[USER_TYPE] =>
[USER_TYPE_SETTINGS] =>
[HINT] =>
[~NAME] => Получаемый документ
[~DEFAULT_VALUE] =>
[VALUE_ENUM] =>
[VALUE_XML_ID] =>
[VALUE_SORT] =>
[VALUE] => Array
(
[0] => 173
)
[PROPERTY_VALUE_ID] => Array
(
[0] => 31441
)
[DESCRIPTION] => Array
(
[0] =>
)
[~VALUE] => Array
(
[0] => 173
)
[~DESCRIPTION] => Array
(
[0] =>
)
)
[TITLE] => Array
(
[ID] => 2
[IBLOCK_ID] => 2
[NAME] => Заголовок окна браузера
[ACTIVE] => Y
[SORT] => 120
[CODE] => TITLE
[DEFAULT_VALUE] =>
[PROPERTY_TYPE] => S
[ROW_COUNT] => 1
[COL_COUNT] => 50
[LIST_TYPE] => L
[MULTIPLE] => N
[XML_ID] => 331
[FILE_TYPE] =>
[MULTIPLE_CNT] => 5
[LINK_IBLOCK_ID] => 0
[WITH_DESCRIPTION] => N
[SEARCHABLE] => N
[FILTRABLE] => N
[IS_REQUIRED] => N
[VERSION] => 1
[USER_TYPE] =>
[USER_TYPE_SETTINGS] =>
[HINT] =>
[~NAME] => Заголовок окна браузера
[~DEFAULT_VALUE] =>
[VALUE_ENUM] =>
[VALUE_XML_ID] =>
[VALUE_SORT] =>
[VALUE] =>
[PROPERTY_VALUE_ID] =>
[DESCRIPTION] =>
[~DESCRIPTION] =>
[~VALUE] =>
)
[KEYWORDS] => Array
(
[ID] => 3
[IBLOCK_ID] => 2
[NAME] => Ключевые слова
[ACTIVE] => Y
[SORT] => 125
[CODE] => KEYWORDS
[DEFAULT_VALUE] =>
[PROPERTY_TYPE] => S
[ROW_COUNT] => 1
[COL_COUNT] => 50
[LIST_TYPE] => L
[MULTIPLE] => N
[XML_ID] => 335
[FILE_TYPE] =>
[MULTIPLE_CNT] => 5
[LINK_IBLOCK_ID] => 0
[WITH_DESCRIPTION] => N
[SEARCHABLE] => N
[FILTRABLE] => N
[IS_REQUIRED] => N
[VERSION] => 1
[USER_TYPE] =>
[USER_TYPE_SETTINGS] =>
[HINT] =>
[~NAME] => Ключевые слова
[~DEFAULT_VALUE] =>
[VALUE_ENUM] =>
[VALUE_XML_ID] =>
[VALUE_SORT] =>
[VALUE] =>
[PROPERTY_VALUE_ID] =>
[DESCRIPTION] =>
[~DESCRIPTION] =>
[~VALUE] =>
)
[META_DESCRIPTION] => Array
(
[ID] => 4
[IBLOCK_ID] => 2
[NAME] => Мета-описание
[ACTIVE] => Y
[SORT] => 130
[CODE] => META_DESCRIPTION
[DEFAULT_VALUE] =>
[PROPERTY_TYPE] => S
[ROW_COUNT] => 3
[COL_COUNT] => 38
[LIST_TYPE] => L
[MULTIPLE] => N
[XML_ID] => 337
[FILE_TYPE] =>
[MULTIPLE_CNT] => 5
[LINK_IBLOCK_ID] => 0
[WITH_DESCRIPTION] => N
[SEARCHABLE] => N
[FILTRABLE] => N
[IS_REQUIRED] => N
[VERSION] => 1
[USER_TYPE] =>
[USER_TYPE_SETTINGS] =>
[HINT] =>
[~NAME] => Мета-описание
[~DEFAULT_VALUE] =>
[VALUE_ENUM] =>
[VALUE_XML_ID] =>
[VALUE_SORT] =>
[VALUE] =>
[PROPERTY_VALUE_ID] =>
[DESCRIPTION] =>
[~DESCRIPTION] =>
[~VALUE] =>
)
[NEWPRODUCT] => Array
(
[ID] => 6
[IBLOCK_ID] => 2
[NAME] => Новинка
[ACTIVE] => Y
[SORT] => 210
[CODE] => NEWPRODUCT
[DEFAULT_VALUE] =>
[PROPERTY_TYPE] => L
[ROW_COUNT] => 1
[COL_COUNT] => 30
[LIST_TYPE] => C
[MULTIPLE] => N
[XML_ID] => af49d0e309af4fac506a8a228000efc5
[FILE_TYPE] =>
[MULTIPLE_CNT] => 5
[LINK_IBLOCK_ID] => 0
[WITH_DESCRIPTION] => N
[SEARCHABLE] => Y
[FILTRABLE] => Y
[IS_REQUIRED] => N
[VERSION] => 1
[USER_TYPE] =>
[USER_TYPE_SETTINGS] =>
[HINT] =>
[~NAME] => Новинка
[~DEFAULT_VALUE] =>
[VALUE_ENUM] =>
[VALUE_XML_ID] =>
[VALUE_SORT] =>
[VALUE] =>
[PROPERTY_VALUE_ID] =>
[DESCRIPTION] =>
[~DESCRIPTION] =>
[~VALUE] =>
[VALUE_ENUM_ID] =>
)
[SALELEADER] => Array
(
[ID] => 7
[IBLOCK_ID] => 2
[NAME] => Лидер продаж
[ACTIVE] => Y
[SORT] => 220
[CODE] => SALELEADER
[DEFAULT_VALUE] =>
[PROPERTY_TYPE] => L
[ROW_COUNT] => 1
[COL_COUNT] => 30
[LIST_TYPE] => C
[MULTIPLE] => N
[XML_ID] => 103
[FILE_TYPE] =>
[MULTIPLE_CNT] => 5
[LINK_IBLOCK_ID] => 0
[WITH_DESCRIPTION] => N
[SEARCHABLE] => N
[FILTRABLE] => Y
[IS_REQUIRED] => N
[VERSION] => 1
[USER_TYPE] =>
[USER_TYPE_SETTINGS] =>
[HINT] =>
[~NAME] => Лидер продаж
[~DEFAULT_VALUE] =>
[VALUE_ENUM] =>
[VALUE_XML_ID] =>
[VALUE_SORT] =>
[VALUE] =>
[PROPERTY_VALUE_ID] =>
[DESCRIPTION] =>
[~DESCRIPTION] =>
[~VALUE] =>
[VALUE_ENUM_ID] =>
)
[SPECIALOFFER] => Array
(
[ID] => 8
[IBLOCK_ID] => 2
[NAME] => Рекомендуемый курс раздела
[ACTIVE] => Y
[SORT] => 230
[CODE] => SPECIALOFFER
[DEFAULT_VALUE] =>
[PROPERTY_TYPE] => L
[ROW_COUNT] => 1
[COL_COUNT] => 30
[LIST_TYPE] => C
[MULTIPLE] => N
[XML_ID] => 5
[FILE_TYPE] =>
[MULTIPLE_CNT] => 5
[LINK_IBLOCK_ID] => 0
[WITH_DESCRIPTION] => N
[SEARCHABLE] => Y
[FILTRABLE] => Y
[IS_REQUIRED] => N
[VERSION] => 1
[USER_TYPE] =>
[USER_TYPE_SETTINGS] =>
[HINT] =>
[~NAME] => Рекомендуемый курс раздела
[~DEFAULT_VALUE] =>
[VALUE_ENUM] =>
[VALUE_XML_ID] =>
[VALUE_SORT] =>
[VALUE] =>
[PROPERTY_VALUE_ID] =>
[DESCRIPTION] =>
[~DESCRIPTION] =>
[~VALUE] =>
[VALUE_ENUM_ID] =>
)
[MANAGER] => Array
(
[ID] => 75
[IBLOCK_ID] => 2
[NAME] => Менеджер
[ACTIVE] => Y
[SORT] => 305
[CODE] => MANAGER
[DEFAULT_VALUE] =>
[PROPERTY_TYPE] => E
[ROW_COUNT] => 1
[COL_COUNT] => 30
[LIST_TYPE] => L
[MULTIPLE] => N
[XML_ID] =>
[FILE_TYPE] =>
[MULTIPLE_CNT] => 5
[LINK_IBLOCK_ID] => 14
[WITH_DESCRIPTION] => N
[SEARCHABLE] => N
[FILTRABLE] => N
[IS_REQUIRED] => N
[VERSION] => 1
[USER_TYPE] =>
[USER_TYPE_SETTINGS] =>
[HINT] =>
[~NAME] => Менеджер
[~DEFAULT_VALUE] =>
[VALUE_ENUM] =>
[VALUE_XML_ID] =>
[VALUE_SORT] =>
[VALUE] => 1586
[PROPERTY_VALUE_ID] => 31431
[DESCRIPTION] =>
[~VALUE] => 1586
[~DESCRIPTION] =>
)
[ARTNUMBER] => Array
(
[ID] => 9
[IBLOCK_ID] => 2
[NAME] => Артикул, Код
[ACTIVE] => Y
[SORT] => 310
[CODE] => ARTNUMBER
[DEFAULT_VALUE] =>
[PROPERTY_TYPE] => S
[ROW_COUNT] => 1
[COL_COUNT] => 30
[LIST_TYPE] => L
[MULTIPLE] => N
[XML_ID] => 10
[FILE_TYPE] =>
[MULTIPLE_CNT] => 5
[LINK_IBLOCK_ID] => 0
[WITH_DESCRIPTION] => N
[SEARCHABLE] => Y
[FILTRABLE] => N
[IS_REQUIRED] => N
[VERSION] => 1
[USER_TYPE] =>
[USER_TYPE_SETTINGS] =>
[HINT] =>
[~NAME] => Артикул, Код
[~DEFAULT_VALUE] =>
[VALUE_ENUM] =>
[VALUE_XML_ID] =>
[VALUE_SORT] =>
[VALUE] => DO004
[PROPERTY_VALUE_ID] => 52850
[DESCRIPTION] =>
[~VALUE] => DO004
[~DESCRIPTION] =>
)
[RECOMMEND] => Array
(
[ID] => 14
[IBLOCK_ID] => 2
[NAME] => С этим курсом рекомендуем
[ACTIVE] => Y
[SORT] => 320
[CODE] => RECOMMEND
[DEFAULT_VALUE] =>
[PROPERTY_TYPE] => E
[ROW_COUNT] => 1
[COL_COUNT] => 30
[LIST_TYPE] => L
[MULTIPLE] => Y
[XML_ID] => 461
[FILE_TYPE] =>
[MULTIPLE_CNT] => 4
[LINK_IBLOCK_ID] => 2
[WITH_DESCRIPTION] => N
[SEARCHABLE] => N
[FILTRABLE] => N
[IS_REQUIRED] => N
[VERSION] => 1
[USER_TYPE] =>
[USER_TYPE_SETTINGS] =>
[HINT] =>
[~NAME] => С этим курсом рекомендуем
[~DEFAULT_VALUE] =>
[VALUE_ENUM] =>
[VALUE_XML_ID] =>
[VALUE_SORT] =>
[VALUE] =>
[PROPERTY_VALUE_ID] =>
[DESCRIPTION] =>
[~DESCRIPTION] =>
[~VALUE] =>
)
[BONUS] => Array
(
[ID] => 91
[IBLOCK_ID] => 2
[NAME] => Бонус
[ACTIVE] => Y
[SORT] => 330
[CODE] => BONUS
[DEFAULT_VALUE] =>
[PROPERTY_TYPE] => N
[ROW_COUNT] => 1
[COL_COUNT] => 30
[LIST_TYPE] => L
[MULTIPLE] => N
[XML_ID] =>
[FILE_TYPE] =>
[MULTIPLE_CNT] => 5
[LINK_IBLOCK_ID] => 0
[WITH_DESCRIPTION] => N
[SEARCHABLE] => N
[FILTRABLE] => N
[IS_REQUIRED] => N
[VERSION] => 1
[USER_TYPE] =>
[USER_TYPE_SETTINGS] =>
[HINT] =>
[~NAME] => Бонус
[~DEFAULT_VALUE] =>
[VALUE_ENUM] =>
[VALUE_XML_ID] =>
[VALUE_SORT] =>
[VALUE] =>
[PROPERTY_VALUE_ID] =>
[DESCRIPTION] =>
[~DESCRIPTION] =>
[~VALUE] =>
)
[NUMBER_REVIEWS] => Array
(
[ID] => 15
[IBLOCK_ID] => 2
[NAME] => Количество отзывов
[ACTIVE] => Y
[SORT] => 350
[CODE] => NUMBER_REVIEWS
[DEFAULT_VALUE] =>
[PROPERTY_TYPE] => N
[ROW_COUNT] => 1
[COL_COUNT] => 30
[LIST_TYPE] => L
[MULTIPLE] => N
[XML_ID] => 37
[FILE_TYPE] =>
[MULTIPLE_CNT] => 5
[LINK_IBLOCK_ID] => 0
[WITH_DESCRIPTION] => N
[SEARCHABLE] => N
[FILTRABLE] => N
[IS_REQUIRED] => N
[VERSION] => 1
[USER_TYPE] =>
[USER_TYPE_SETTINGS] =>
[HINT] =>
[~NAME] => Количество отзывов
[~DEFAULT_VALUE] =>
[VALUE_ENUM] =>
[VALUE_XML_ID] =>
[VALUE_SORT] =>
[VALUE] =>
[PROPERTY_VALUE_ID] =>
[DESCRIPTION] =>
[~DESCRIPTION] =>
[~VALUE] =>
)
[BLOG_POST_ID] => Array
(
[ID] => 50
[IBLOCK_ID] => 2
[NAME] => ID поста блога для комментариев
[ACTIVE] => Y
[SORT] => 500
[CODE] => BLOG_POST_ID
[DEFAULT_VALUE] =>
[PROPERTY_TYPE] => N
[ROW_COUNT] => 1
[COL_COUNT] => 30
[LIST_TYPE] => L
[MULTIPLE] => N
[XML_ID] =>
[FILE_TYPE] =>
[MULTIPLE_CNT] => 5
[LINK_IBLOCK_ID] => 0
[WITH_DESCRIPTION] => N
[SEARCHABLE] => N
[FILTRABLE] => N
[IS_REQUIRED] => N
[VERSION] => 1
[USER_TYPE] =>
[USER_TYPE_SETTINGS] =>
[HINT] =>
[~NAME] => ID поста блога для комментариев
[~DEFAULT_VALUE] =>
[VALUE_ENUM] =>
[VALUE_XML_ID] =>
[VALUE_SORT] =>
[VALUE] =>
[PROPERTY_VALUE_ID] =>
[DESCRIPTION] =>
[~DESCRIPTION] =>
[~VALUE] =>
)
[BLOG_COMMENTS_CNT] => Array
(
[ID] => 51
[IBLOCK_ID] => 2
[NAME] => Количество комментариев
[ACTIVE] => Y
[SORT] => 500
[CODE] => BLOG_COMMENTS_CNT
[DEFAULT_VALUE] =>
[PROPERTY_TYPE] => N
[ROW_COUNT] => 1
[COL_COUNT] => 30
[LIST_TYPE] => L
[MULTIPLE] => N
[XML_ID] =>
[FILE_TYPE] =>
[MULTIPLE_CNT] => 5
[LINK_IBLOCK_ID] => 0
[WITH_DESCRIPTION] => N
[SEARCHABLE] => N
[FILTRABLE] => N
[IS_REQUIRED] => N
[VERSION] => 1
[USER_TYPE] =>
[USER_TYPE_SETTINGS] =>
[HINT] =>
[~NAME] => Количество комментариев
[~DEFAULT_VALUE] =>
[VALUE_ENUM] =>
[VALUE_XML_ID] =>
[VALUE_SORT] =>
[VALUE] =>
[PROPERTY_VALUE_ID] =>
[DESCRIPTION] =>
[~DESCRIPTION] =>
[~VALUE] =>
)
[BUTTON_CODE] => Array
(
[ID] => 100
[IBLOCK_ID] => 2
[NAME] => Код кнопки
[ACTIVE] => Y
[SORT] => 500
[CODE] => BUTTON_CODE
[DEFAULT_VALUE] => Array
(
[TEXT] =>
[TYPE] => HTML
)
[PROPERTY_TYPE] => S
[ROW_COUNT] => 1
[COL_COUNT] => 30
[LIST_TYPE] => L
[MULTIPLE] => N
[XML_ID] =>
[FILE_TYPE] =>
[MULTIPLE_CNT] => 5
[LINK_IBLOCK_ID] => 0
[WITH_DESCRIPTION] => N
[SEARCHABLE] => N
[FILTRABLE] => N
[IS_REQUIRED] => N
[VERSION] => 1
[USER_TYPE] => HTML
[USER_TYPE_SETTINGS] => Array
(
[height] => 200
)
[HINT] =>
[~NAME] => Код кнопки
[~DEFAULT_VALUE] => Array
(
[TEXT] =>
[TYPE] => HTML
)
[VALUE_ENUM] =>
[VALUE_XML_ID] =>
[VALUE_SORT] =>
[VALUE] => Array
(
[TEXT] => <script id="bx24_form_button" data-skip-moving="true">
(function(w,d,u,b){w['Bitrix24FormObject']=b;w[b] = w[b] || function(){arguments[0].ref=u;
(w[b].forms=w[b].forms||[]).push(arguments[0])};
if(w[b]['forms']) return;
var s=d.createElement('script');s.async=1;s.src=u+'?'+(1*new Date());
var h=d.getElementsByTagName('script')[0];h.parentNode.insertBefore(s,h);
})(window,document,'https://b24ais.ru/bitrix/js/crm/form_loader.js','b24form');
b24form({"id":"9","lang":"ru","sec":"m60a01","type":"button","click":""});
</script><button class="b24-web-form-popup-btn-9"> Оставить заявку</button>
[TYPE] => HTML
)
[PROPERTY_VALUE_ID] => 31446
[DESCRIPTION] =>
[~VALUE] => Array
(
[TEXT] =>
[TYPE] => HTML
)
[~DESCRIPTION] =>
)
[DURATION_FOR_PROGRAMM] => Array
(
[ID] => 102
[IBLOCK_ID] => 2
[NAME] => Продолжительность для программы
[ACTIVE] => Y
[SORT] => 500
[CODE] => DURATION_FOR_PROGRAMM
[DEFAULT_VALUE] =>
[PROPERTY_TYPE] => S
[ROW_COUNT] => 1
[COL_COUNT] => 30
[LIST_TYPE] => L
[MULTIPLE] => Y
[XML_ID] =>
[FILE_TYPE] =>
[MULTIPLE_CNT] => 5
[LINK_IBLOCK_ID] => 0
[WITH_DESCRIPTION] => N
[SEARCHABLE] => N
[FILTRABLE] => N
[IS_REQUIRED] => N
[VERSION] => 1
[USER_TYPE] =>
[USER_TYPE_SETTINGS] =>
[HINT] =>
[~NAME] => Продолжительность для программы
[~DEFAULT_VALUE] =>
[VALUE_ENUM] =>
[VALUE_XML_ID] =>
[VALUE_SORT] =>
[VALUE] => Array
(
[0] => 4 ч.
[1] => 4 ч.
[2] => 24 ч.
[3] => 8 ч.
)
[PROPERTY_VALUE_ID] => Array
(
[0] => 31416
[1] => 31417
[2] => 31439
[3] => 31447
)
[DESCRIPTION] => Array
(
[0] =>
[1] =>
[2] =>
[3] =>
)
[~VALUE] => Array
(
[0] => 4 ч.
[1] => 4 ч.
[2] => 24 ч.
[3] => 8 ч.
)
[~DESCRIPTION] => Array
(
[0] =>
[1] =>
[2] =>
[3] =>
)
)
[KP_BUTTON_CODE] => Array
(
[ID] => 106
[IBLOCK_ID] => 2
[NAME] => Код формы коммерческого предложения
[ACTIVE] => Y
[SORT] => 500
[CODE] => KP_BUTTON_CODE
[DEFAULT_VALUE] => Array
(
[TEXT] =>
[TYPE] => HTML
)
[PROPERTY_TYPE] => S
[ROW_COUNT] => 1
[COL_COUNT] => 30
[LIST_TYPE] => L
[MULTIPLE] => N
[XML_ID] =>
[FILE_TYPE] =>
[MULTIPLE_CNT] => 5
[LINK_IBLOCK_ID] => 0
[WITH_DESCRIPTION] => N
[SEARCHABLE] => N
[FILTRABLE] => N
[IS_REQUIRED] => N
[VERSION] => 1
[USER_TYPE] => HTML
[USER_TYPE_SETTINGS] => Array
(
[height] => 200
)
[HINT] =>
[~NAME] => Код формы коммерческого предложения
[~DEFAULT_VALUE] => Array
(
[TEXT] =>
[TYPE] => HTML
)
[VALUE_ENUM] =>
[VALUE_XML_ID] =>
[VALUE_SORT] =>
[VALUE] => Array
(
[TEXT] => <script id="bx24_form_button" data-skip-moving="true">
(function(w,d,u,b){w['Bitrix24FormObject']=b;w[b] = w[b] || function(){arguments[0].ref=u;
(w[b].forms=w[b].forms||[]).push(arguments[0])};
if(w[b]['forms']) return;
var s=d.createElement('script');s.async=1;s.src=u+'?'+(1*new Date());
var h=d.getElementsByTagName('script')[0];h.parentNode.insertBefore(s,h);
})(window,document,'https://b24ais.ru/bitrix/js/crm/form_loader.js','b24form');
b24form({"id":"29","lang":"ru","sec":"3o8k29","type":"button","click":""});
</script><button class="b24-web-form-popup-btn-29"> Получить коммерческое предложение </button>
[TYPE] => HTML
)
[PROPERTY_VALUE_ID] => 31448
[DESCRIPTION] =>
[~VALUE] => Array
(
[TEXT] =>
[TYPE] => HTML
)
[~DESCRIPTION] =>
)
[VENDOR] => Array
(
[ID] => 107
[IBLOCK_ID] => 2
[NAME] => Вендор
[ACTIVE] => Y
[SORT] => 500
[CODE] => VENDOR
[DEFAULT_VALUE] =>
[PROPERTY_TYPE] => E
[ROW_COUNT] => 1
[COL_COUNT] => 30
[LIST_TYPE] => L
[MULTIPLE] => N
[XML_ID] =>
[FILE_TYPE] =>
[MULTIPLE_CNT] => 5
[LINK_IBLOCK_ID] => 27
[WITH_DESCRIPTION] => N
[SEARCHABLE] => N
[FILTRABLE] => N
[IS_REQUIRED] => N
[VERSION] => 1
[USER_TYPE] =>
[USER_TYPE_SETTINGS] =>
[HINT] =>
[~NAME] => Вендор
[~DEFAULT_VALUE] =>
[VALUE_ENUM] =>
[VALUE_XML_ID] =>
[VALUE_SORT] =>
[VALUE] => 1240
[PROPERTY_VALUE_ID] => 31464
[DESCRIPTION] =>
[~VALUE] => 1240
[~DESCRIPTION] =>
)
[DISTANCE_LINK] => Array
(
[ID] => 108
[IBLOCK_ID] => 2
[NAME] => Ссылка для кнопки "дистанционное участие" промо - круса
[ACTIVE] => Y
[SORT] => 500
[CODE] => DISTANCE_LINK
[DEFAULT_VALUE] =>
[PROPERTY_TYPE] => S
[ROW_COUNT] => 1
[COL_COUNT] => 30
[LIST_TYPE] => L
[MULTIPLE] => N
[XML_ID] =>
[FILE_TYPE] =>
[MULTIPLE_CNT] => 5
[LINK_IBLOCK_ID] => 0
[WITH_DESCRIPTION] => N
[SEARCHABLE] => N
[FILTRABLE] => N
[IS_REQUIRED] => N
[VERSION] => 1
[USER_TYPE] =>
[USER_TYPE_SETTINGS] =>
[HINT] =>
[~NAME] => Ссылка для кнопки "дистанционное участие" промо - круса
[~DEFAULT_VALUE] =>
[VALUE_ENUM] =>
[VALUE_XML_ID] =>
[VALUE_SORT] =>
[VALUE] =>
[PROPERTY_VALUE_ID] =>
[DESCRIPTION] =>
[~DESCRIPTION] =>
[~VALUE] =>
)
[IS_PROMO] => Array
(
[ID] => 109
[IBLOCK_ID] => 2
[NAME] => Является промо-курсом
[ACTIVE] => Y
[SORT] => 500
[CODE] => IS_PROMO
[DEFAULT_VALUE] =>
[PROPERTY_TYPE] => L
[ROW_COUNT] => 1
[COL_COUNT] => 30
[LIST_TYPE] => C
[MULTIPLE] => N
[XML_ID] =>
[FILE_TYPE] =>
[MULTIPLE_CNT] => 5
[LINK_IBLOCK_ID] => 0
[WITH_DESCRIPTION] => N
[SEARCHABLE] => N
[FILTRABLE] => N
[IS_REQUIRED] => N
[VERSION] => 1
[USER_TYPE] =>
[USER_TYPE_SETTINGS] =>
[HINT] =>
[~NAME] => Является промо-курсом
[~DEFAULT_VALUE] =>
[VALUE_ENUM] =>
[VALUE_XML_ID] =>
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Современные компании с большим количеством пользователей и клиентов имеют дело с огромными объемами данных. Традиционные парадигмы обработки/хранения/предоставления/анализа данных не подходят, когда объемы данных составляют сотни терабайт и они являются неструктурированными. И здесь приходят на помощь технологии Big Data и машинного обучения, которые позволяют с использованием ряда фреймворков разработанных Google и Apache обеспечить работу и анализ таких объемов информации в заданные временные интервалы. К сожалению многие компании реализующие такие технологии не задумываются о вопросах безопасности в результате чего это приводит к утечкам и скандалам.
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<li>
<h3><span style="font-size: 10pt;">Цели и задачи курса.</span></h3>
</li>
</ul>
<ul>
<li>
<h3><span style="font-size: 10pt;">Основные понятия и определения.</span></h3>
</li>
</ul>
<ul>
<li>
<h3><span style="font-size: 10pt;">История науки о данных (Data Science). Особенности развития Data Science в настоящее время.</span></h3>
</li>
</ul>
<ul>
<li>
<h3><span style="font-size: 10pt;"> Большие данные и цифровая трансформация.</span></h3>
</li>
</ul>
<ul>
<li>
<h3><span style="font-size: 10pt;">Эффективное использование данных в организации.</span></h3>
</li>
</ul>
<ul>
<li>
<h3><span style="font-size: 10pt;">Различные подходы к управлению (Data-Driven и DataInformed).</span></h3>
</li>
</ul>
<ul>
<li>
<h3><span style="font-size: 10pt;">Data-Driven культура (данные как стратегический ресурс).</span></h3>
</li>
</ul>
<ul>
<li>
<h3><span style="font-size: 10pt;">Использование Data-Driven подхода. Выгоды от работы с большими данными.</span></h3>
</li>
</ul>
<ul>
<li>
<h3><span style="font-size: 10pt;">Основные области применения больших данных.</span></h3>
</li>
</ul>
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[1] => Array
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[TEXT] => <ul>
<li>
<h3><span style="font-size: 10pt;">Основные принципы работы с Big Data</span></h3>
</li>
</ul>
<ul>
<li>
<h3><span style="font-size: 10pt;">Интеграция больших данных. Источники данных (реляционные, не реляционные, предметно ориентированные информационные базы данных). Data Lake.</span></h3>
</li>
</ul>
<ul>
<li>
<h3><span style="font-size: 10pt;">Импорт и экспорт данных: SQL и NoSQL базы данных, потоковые данные, файловые системы (HDFS, NFS), webcontent, социальные сети.</span></h3>
</li>
</ul>
<ul>
<li>
<h3><span style="font-size: 10pt;">Пакетная и динамическая (batch / real-time) загрузка данных.</span></h3>
</li>
</ul>
<ul>
<li>
<h3><span style="font-size: 10pt;">Типовые задачи аналитики больших данных.</span></h3>
</li>
</ul>
<ul>
<li>
<h3><span style="font-size: 10pt;"> Методы аналитики Big Data. Подход MapReduce.</span></h3>
</li>
</ul>
<ul>
<li>
<h3><span style="font-size: 10pt;">Жизненный цикл аналитики данных: получение и накопление данных, подготовка данных, планирование модели, построение модели, проверка результатов, внедрение.</span></h3>
</li>
</ul>
<ul>
<li>
<h3><span style="font-size: 10pt;">
Использование анализа больших данных для повышения эффективности бизнес процессов.</span></h3>
</li>
</ul>
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<li>
<h3><span style="font-size: 11pt;"><b>Особенности применения аналитики для Big Data</b> </span></h3>
<ul>
<li>Статистические методы и методы интеллектуального анализа данных (Data Mining).</li>
<li>Отличия методов Data Mining от статистических методов.</li>
<li>Задачи и этапы Data Mining.</li>
<li>Организационные и человеческие факторы в Data Mining. Методология CRISP-DM (Cross-Industry Standard Process for Data Mining).</li>
<li>Классификация и кластеризация.</li>
<li>Прогнозирование. Предсказательная аналитика (predictive analytics).</li>
<li> Поиск зависимостей в данных. Ассоциативные правила (Association Rules) и обнаружение аномалий. Меры качества закономерностей.</li>
<li>Визуализация.</li>
<li>Вычисление дескриптивных статистик (частоты, средние, стандартные отклонения, медианы etc.) для больших объемов данных.</li>
<li> А/В- (A/B/n-) тестирование и реализация задач оптимизации (повышения эффективности) работы.</li>
<li>Выбор языка программирования для работы с данными</li>
</ul>
</li>
</ul>
<ul>
<li>
<h3><span style="font-size: 11pt;"><b>Применение Искусственного Интеллекта для аналитики Big Data (Машинное обучение).</b> </span></h3>
<ul>
<li>Основные понятия машинного обучения (Machine Learning).</li>
<li> Постановка задач обучения по прецедентам. Виды машинного обучения. Объекты и признаки. Деревья решений.</li>
<li> Процесс создания модели в машинном обучении.</li>
<li>Классификация алгоритмов Machine Learning.</li>
<li> Обучение с учителем.</li>
<li>Обучение без учителя.</li>
<li>Обучение с подкреплением.</li>
<li> Оценка качества алгоритмов машинного обучения.</li>
<li> Сложные модели. Ансамбли деревьев решений, бустинг.</li>
<li>Искусственные нейронные сети. Модель нейрона. Структура нейронной сети.</li>
<li> Классификация нейронных сетей. Сложные архитектурные модели.</li>
<li>Байесовские нейронные сети.</li>
<li> Обучение нейронной сети. Метод обратного распространения ошибки. Глубокое обучение.</li>
<li>Экспериментальное исследование и сравнение алгоритмов на модельных и реальных данных.</li>
</ul>
</li>
</ul>
<ul>
</ul>
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<li>
<h3><span style="font-size: 10pt;">Инструменты для анализа данных и машинного обучения (Библиотеки, Фреймворки, Базы данных, Аналитические платформы).</span></h3>
</li>
</ul>
<ul>
<li>
<h3><span style="font-size: 10pt;">Распределенные вычисления и экосистема Apache Hadoop. Назначение и характеристика компонент Hadoop для хранения и обработки Big Data. Аналитика для неструктурированных данных с использованием Hadoop.</span></h3>
</li>
</ul>
<ul>
<li>
<h3><span style="font-size: 10pt;">Обработка данных в реальном времени. Машинное обучение с библиотекой MLLib Apache Spark.</span></h3>
</li>
</ul>
<ul>
<li>
<h3><span style="font-size: 10pt;">Применение облачных технологий (платформы AWS, Azure) для реализации решений Big Data.</span></h3>
</li>
</ul>
<ul>
<li>
<h3><span style="font-size: 10pt;">Массово-параллельная структура (Massive Parallel Processing).</span></h3>
</li>
</ul>
<ul>
<li>
<h3><span style="font-size: 10pt;">Языковые средства моделирования. Использование R и Python в машинном обучении.</span></h3>
</li>
</ul>
<ul>
<li>
<h3><span style="font-size: 10pt;">Использование прикладных библиотек в машинном обучении (на примере работы с библиотекой TensorFlow).</span></h3>
</li>
</ul>
<ul>
<li>
<h3><span style="font-size: 10pt;">
Реализация решений Data Mining и Machine Learning для Big Data на современных NewSQL платформах (на примере SAP HANA).</span></h3>
</li>
</ul>
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<li>
<h3><span style="font-size: 10pt;">Сравнительные характеристики программных и аппаратных решений для реализации решений Big Data.</span></h3>
</li>
</ul>
<ul>
<li>
<h3><span style="font-size: 10pt;">Big Data Infrastructure Landscape 2019.</span></h3>
</li>
</ul>
<ul>
<li>
<h3><span style="font-size: 10pt;">Big Data Infrastructure Service Providers 2019.</span></h3>
</li>
</ul>
<ul>
<li>
<h3><span style="font-size: 10pt;">Big Data Analytics Landscape 2019.</span></h3>
</li>
</ul>
<ul>
<li>
<h3><span style="font-size: 10pt;">Big Data Enterprise Level Applications Landscape 2019.</span></h3>
</li>
</ul>
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<li>
<h3><span style="font-size: 10pt;">Определение перспектив использования больших данных и способов их монетизации.</span></h3>
</li>
</ul>
<ul>
<li>
<h3><span style="font-size: 10pt;">Выбор инфраструктуры под проект (пригодной для реализации на старте и в будущем).</span></h3>
</li>
</ul>
<ul>
<li>
<h3><span style="font-size: 10pt;">Выбор необходимых алгоритмов машинного обучения.</span></h3>
</li>
</ul>
<ul>
<li>
<h3><span style="font-size: 10pt;">Управление проектом по внедрению технологий больших данных. Формирование команды проекта Big Data. Ключевые роли.</span></h3>
</li>
</ul>
<ul>
<li>
<h3><span style="font-size: 10pt;">Оценка результатов внедрения решений Big Data.</span></h3>
</li>
</ul>
<ul>
<li>
<h3><span style="font-size: 11pt;">Итоговая аттестация</span></h3>
</li>
</ul>
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Основные понятия и определения.
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-
Большие данные и цифровая трансформация.
-
Эффективное использование данных в организации.
-
Различные подходы к управлению (Data-Driven и DataInformed).
-
Data-Driven культура (данные как стратегический ресурс).
-
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Пакетная и динамическая (batch / real-time) загрузка данных.
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Типовые задачи аналитики больших данных.
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Методы аналитики Big Data. Подход MapReduce.
-
Жизненный цикл аналитики данных: получение и накопление данных, подготовка данных, планирование модели, построение модели, проверка результатов, внедрение.
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Использование анализа больших данных для повышения эффективности бизнес процессов.
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-
Особенности применения аналитики для Big Data
- Статистические методы и методы интеллектуального анализа данных (Data Mining).
- Отличия методов Data Mining от статистических методов.
- Задачи и этапы Data Mining.
- Организационные и человеческие факторы в Data Mining. Методология CRISP-DM (Cross-Industry Standard Process for Data Mining).
- Классификация и кластеризация.
- Прогнозирование. Предсказательная аналитика (predictive analytics).
- Поиск зависимостей в данных. Ассоциативные правила (Association Rules) и обнаружение аномалий. Меры качества закономерностей.
- Визуализация.
- Вычисление дескриптивных статистик (частоты, средние, стандартные отклонения, медианы etc.) для больших объемов данных.
- А/В- (A/B/n-) тестирование и реализация задач оптимизации (повышения эффективности) работы.
- Выбор языка программирования для работы с данными
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Применение Искусственного Интеллекта для аналитики Big Data (Машинное обучение).
- Основные понятия машинного обучения (Machine Learning).
- Постановка задач обучения по прецедентам. Виды машинного обучения. Объекты и признаки. Деревья решений.
- Процесс создания модели в машинном обучении.
- Классификация алгоритмов Machine Learning.
- Обучение с учителем.
- Обучение без учителя.
- Обучение с подкреплением.
- Оценка качества алгоритмов машинного обучения.
- Сложные модели. Ансамбли деревьев решений, бустинг.
- Искусственные нейронные сети. Модель нейрона. Структура нейронной сети.
- Классификация нейронных сетей. Сложные архитектурные модели.
- Байесовские нейронные сети.
- Обучение нейронной сети. Метод обратного распространения ошибки. Глубокое обучение.
- Экспериментальное исследование и сравнение алгоритмов на модельных и реальных данных.
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Инструменты для анализа данных и машинного обучения (Библиотеки, Фреймворки, Базы данных, Аналитические платформы).
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Распределенные вычисления и экосистема Apache Hadoop. Назначение и характеристика компонент Hadoop для хранения и обработки Big Data. Аналитика для неструктурированных данных с использованием Hadoop.
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Обработка данных в реальном времени. Машинное обучение с библиотекой MLLib Apache Spark.
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Применение облачных технологий (платформы AWS, Azure) для реализации решений Big Data.
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Массово-параллельная структура (Massive Parallel Processing).
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Языковые средства моделирования. Использование R и Python в машинном обучении.
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Использование прикладных библиотек в машинном обучении (на примере работы с библиотекой TensorFlow).
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Реализация решений Data Mining и Machine Learning для Big Data на современных NewSQL платформах (на примере SAP HANA).
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Сравнительные характеристики программных и аппаратных решений для реализации решений Big Data.
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Big Data Infrastructure Landscape 2019.
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Big Data Infrastructure Service Providers 2019.
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Big Data Analytics Landscape 2019.
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Big Data Enterprise Level Applications Landscape 2019.
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Определение перспектив использования больших данных и способов их монетизации.
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Выбор инфраструктуры под проект (пригодной для реализации на старте и в будущем).
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Выбор необходимых алгоритмов машинного обучения.
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Управление проектом по внедрению технологий больших данных. Формирование команды проекта Big Data. Ключевые роли.
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Оценка результатов внедрения решений Big Data.
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[4] => Тенденции развития техник и технологий работы с большими данными.
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[SEARCHABLE] => N
[FILTRABLE] => N
[IS_REQUIRED] => N
[VERSION] => 1
[USER_TYPE] => HTML
[USER_TYPE_SETTINGS] => Array
(
[height] => 200
)
[HINT] =>
[~NAME] => Код кнопки
[~DEFAULT_VALUE] => Array
(
[TEXT] =>
[TYPE] => HTML
)
[VALUE_ENUM] =>
[VALUE_XML_ID] =>
[VALUE_SORT] =>
[VALUE] => Array
(
[TEXT] => <script id="bx24_form_button" data-skip-moving="true">
(function(w,d,u,b){w['Bitrix24FormObject']=b;w[b] = w[b] || function(){arguments[0].ref=u;
(w[b].forms=w[b].forms||[]).push(arguments[0])};
if(w[b]['forms']) return;
var s=d.createElement('script');s.async=1;s.src=u+'?'+(1*new Date());
var h=d.getElementsByTagName('script')[0];h.parentNode.insertBefore(s,h);
})(window,document,'https://b24ais.ru/bitrix/js/crm/form_loader.js','b24form');
b24form({"id":"9","lang":"ru","sec":"m60a01","type":"button","click":""});
</script><button class="b24-web-form-popup-btn-9"> Оставить заявку</button>
[TYPE] => HTML
)
[PROPERTY_VALUE_ID] => 31520
[DESCRIPTION] =>
[~VALUE] => Array
(
[TEXT] =>
[TYPE] => HTML
)
[~DESCRIPTION] =>
)
[DURATION_FOR_PROGRAMM] => Array
(
[ID] => 102
[IBLOCK_ID] => 2
[NAME] => Продолжительность для программы
[ACTIVE] => Y
[SORT] => 500
[CODE] => DURATION_FOR_PROGRAMM
[DEFAULT_VALUE] =>
[PROPERTY_TYPE] => S
[ROW_COUNT] => 1
[COL_COUNT] => 30
[LIST_TYPE] => L
[MULTIPLE] => Y
[XML_ID] =>
[FILE_TYPE] =>
[MULTIPLE_CNT] => 5
[LINK_IBLOCK_ID] => 0
[WITH_DESCRIPTION] => N
[SEARCHABLE] => N
[FILTRABLE] => N
[IS_REQUIRED] => N
[VERSION] => 1
[USER_TYPE] =>
[USER_TYPE_SETTINGS] =>
[HINT] =>
[~NAME] => Продолжительность для программы
[~DEFAULT_VALUE] =>
[VALUE_ENUM] =>
[VALUE_XML_ID] =>
[VALUE_SORT] =>
[VALUE] => Array
(
[0] => 2 ч.
[1] => 2 ч.
[2] => 24 ч.
[3] => 2 ч.
[4] => 4 ч.
[5] => 8 ч.
)
[PROPERTY_VALUE_ID] => Array
(
[0] => 31521
[1] => 31522
[2] => 31541
[3] => 31548
[4] => 31555
[5] => 31567
)
[DESCRIPTION] => Array
(
[0] =>
[1] =>
[2] =>
[3] =>
[4] =>
[5] =>
)
[~VALUE] => Array
(
[0] => 2 ч.
[1] => 2 ч.
[2] => 24 ч.
[3] => 2 ч.
[4] => 4 ч.
[5] => 8 ч.
)
[~DESCRIPTION] => Array
(
[0] =>
[1] =>
[2] =>
[3] =>
[4] =>
[5] =>
)
)
[KP_BUTTON_CODE] => Array
(
[ID] => 106
[IBLOCK_ID] => 2
[NAME] => Код формы коммерческого предложения
[ACTIVE] => Y
[SORT] => 500
[CODE] => KP_BUTTON_CODE
[DEFAULT_VALUE] => Array
(
[TEXT] =>
[TYPE] => HTML
)
[PROPERTY_TYPE] => S
[ROW_COUNT] => 1
[COL_COUNT] => 30
[LIST_TYPE] => L
[MULTIPLE] => N
[XML_ID] =>
[FILE_TYPE] =>
[MULTIPLE_CNT] => 5
[LINK_IBLOCK_ID] => 0
[WITH_DESCRIPTION] => N
[SEARCHABLE] => N
[FILTRABLE] => N
[IS_REQUIRED] => N
[VERSION] => 1
[USER_TYPE] => HTML
[USER_TYPE_SETTINGS] => Array
(
[height] => 200
)
[HINT] =>
[~NAME] => Код формы коммерческого предложения
[~DEFAULT_VALUE] => Array
(
[TEXT] =>
[TYPE] => HTML
)
[VALUE_ENUM] =>
[VALUE_XML_ID] =>
[VALUE_SORT] =>
[VALUE] => Array
(
[TEXT] => <script id="bx24_form_button" data-skip-moving="true">
(function(w,d,u,b){w['Bitrix24FormObject']=b;w[b] = w[b] || function(){arguments[0].ref=u;
(w[b].forms=w[b].forms||[]).push(arguments[0])};
if(w[b]['forms']) return;
var s=d.createElement('script');s.async=1;s.src=u+'?'+(1*new Date());
var h=d.getElementsByTagName('script')[0];h.parentNode.insertBefore(s,h);
})(window,document,'https://b24ais.ru/bitrix/js/crm/form_loader.js','b24form');
b24form({"id":"29","lang":"ru","sec":"3o8k29","type":"button","click":""});
</script><button class="b24-web-form-popup-btn-29"> Получить коммерческое предложение </button>
[TYPE] => HTML
)
[PROPERTY_VALUE_ID] => 31523
[DESCRIPTION] =>
[~VALUE] => Array
(
[TEXT] =>
[TYPE] => HTML
)
[~DESCRIPTION] =>
)
[VENDOR] => Array
(
[ID] => 107
[IBLOCK_ID] => 2
[NAME] => Вендор
[ACTIVE] => Y
[SORT] => 500
[CODE] => VENDOR
[DEFAULT_VALUE] =>
[PROPERTY_TYPE] => E
[ROW_COUNT] => 1
[COL_COUNT] => 30
[LIST_TYPE] => L
[MULTIPLE] => N
[XML_ID] =>
[FILE_TYPE] =>
[MULTIPLE_CNT] => 5
[LINK_IBLOCK_ID] => 27
[WITH_DESCRIPTION] => N
[SEARCHABLE] => N
[FILTRABLE] => N
[IS_REQUIRED] => N
[VERSION] => 1
[USER_TYPE] =>
[USER_TYPE_SETTINGS] =>
[HINT] =>
[~NAME] => Вендор
[~DEFAULT_VALUE] =>
[VALUE_ENUM] =>
[VALUE_XML_ID] =>
[VALUE_SORT] =>
[VALUE] => 1240
[PROPERTY_VALUE_ID] => 31524
[DESCRIPTION] =>
[~VALUE] => 1240
[~DESCRIPTION] =>
)
[DISTANCE_LINK] => Array
(
[ID] => 108
[IBLOCK_ID] => 2
[NAME] => Ссылка для кнопки "дистанционное участие" промо - круса
[ACTIVE] => Y
[SORT] => 500
[CODE] => DISTANCE_LINK
[DEFAULT_VALUE] =>
[PROPERTY_TYPE] => S
[ROW_COUNT] => 1
[COL_COUNT] => 30
[LIST_TYPE] => L
[MULTIPLE] => N
[XML_ID] =>
[FILE_TYPE] =>
[MULTIPLE_CNT] => 5
[LINK_IBLOCK_ID] => 0
[WITH_DESCRIPTION] => N
[SEARCHABLE] => N
[FILTRABLE] => N
[IS_REQUIRED] => N
[VERSION] => 1
[USER_TYPE] =>
[USER_TYPE_SETTINGS] =>
[HINT] =>
[~NAME] => Ссылка для кнопки "дистанционное участие" промо - круса
[~DEFAULT_VALUE] =>
[VALUE_ENUM] =>
[VALUE_XML_ID] =>
[VALUE_SORT] =>
[VALUE] =>
[PROPERTY_VALUE_ID] =>
[DESCRIPTION] =>
[~DESCRIPTION] =>
[~VALUE] =>
)
[IS_PROMO] => Array
(
[ID] => 109
[IBLOCK_ID] => 2
[NAME] => Является промо-курсом
[ACTIVE] => Y
[SORT] => 500
[CODE] => IS_PROMO
[DEFAULT_VALUE] =>
[PROPERTY_TYPE] => L
[ROW_COUNT] => 1
[COL_COUNT] => 30
[LIST_TYPE] => C
[MULTIPLE] => N
[XML_ID] =>
[FILE_TYPE] =>
[MULTIPLE_CNT] => 5
[LINK_IBLOCK_ID] => 0
[WITH_DESCRIPTION] => N
[SEARCHABLE] => N
[FILTRABLE] => N
[IS_REQUIRED] => N
[VERSION] => 1
[USER_TYPE] =>
[USER_TYPE_SETTINGS] =>
[HINT] =>
[~NAME] => Является промо-курсом
[~DEFAULT_VALUE] =>
[VALUE_ENUM] =>
[VALUE_XML_ID] =>
[VALUE_SORT] =>
[VALUE] =>
[PROPERTY_VALUE_ID] =>
[DESCRIPTION] =>
[~DESCRIPTION] =>
[~VALUE] =>
[VALUE_ENUM_ID] =>
)
[TITLE_EVENT] => Array
(
[ID] => 111
[IBLOCK_ID] => 2
[NAME] => Заголовки к полям "Программа мероприятия" (в том же порядке)
[ACTIVE] => Y
[SORT] => 500
[CODE] => TITLE_EVENT
[DEFAULT_VALUE] =>
[PROPERTY_TYPE] => S
[ROW_COUNT] => 1
[COL_COUNT] => 30
[LIST_TYPE] => L
[MULTIPLE] => Y
[XML_ID] =>
[FILE_TYPE] =>
[MULTIPLE_CNT] => 5
[LINK_IBLOCK_ID] => 0
[WITH_DESCRIPTION] => N
[SEARCHABLE] => N
[FILTRABLE] => N
[IS_REQUIRED] => N
[VERSION] => 1
[USER_TYPE] =>
[USER_TYPE_SETTINGS] =>
[HINT] =>
[~NAME] => Заголовки к полям "Программа мероприятия" (в том же порядке)
[~DEFAULT_VALUE] =>
[VALUE_ENUM] =>
[VALUE_XML_ID] =>
[VALUE_SORT] =>
[VALUE] =>
[PROPERTY_VALUE_ID] =>
[DESCRIPTION] =>
[~DESCRIPTION] =>
[~VALUE] =>
)
[FORM_TRAINING_NEW] => Array
(
[ID] => 112
[IBLOCK_ID] => 2
[NAME] => Форма обучения (новая)
[ACTIVE] => Y
[SORT] => 500
[CODE] => FORM_TRAINING_NEW
[DEFAULT_VALUE] =>
[PROPERTY_TYPE] => L
[ROW_COUNT] => 1
[COL_COUNT] => 30
[LIST_TYPE] => L
[MULTIPLE] => N
[XML_ID] =>
[FILE_TYPE] =>
[MULTIPLE_CNT] => 5
[LINK_IBLOCK_ID] => 0
[WITH_DESCRIPTION] => N
[SEARCHABLE] => N
[FILTRABLE] => N
[IS_REQUIRED] => N
[VERSION] => 1
[USER_TYPE] =>
[USER_TYPE_SETTINGS] =>
[HINT] =>
[~NAME] => Форма обучения (новая)
[~DEFAULT_VALUE] =>
[VALUE_ENUM] => Очно/Дистанционно
[VALUE_XML_ID] => mixed
[VALUE_SORT] => 500
[VALUE] => Очно/Дистанционно
[PROPERTY_VALUE_ID] => 69726
[VALUE_ENUM_ID] => 27
[DESCRIPTION] =>
[~VALUE] => Очно/Дистанционно
[~DESCRIPTION] =>
)
[WEBINAR_RECORDING] => Array
(
[ID] => 122
[IBLOCK_ID] => 2
[NAME] => Запись вебинара
[ACTIVE] => Y
[SORT] => 500
[CODE] => WEBINAR_RECORDING
[DEFAULT_VALUE] =>
[PROPERTY_TYPE] => S
[ROW_COUNT] => 1
[COL_COUNT] => 30
[LIST_TYPE] => L
[MULTIPLE] => N
[XML_ID] =>
[FILE_TYPE] =>
[MULTIPLE_CNT] => 5
[LINK_IBLOCK_ID] => 0
[WITH_DESCRIPTION] => N
[SEARCHABLE] => N
[FILTRABLE] => N
[IS_REQUIRED] => N
[VERSION] => 1
[USER_TYPE] =>
[USER_TYPE_SETTINGS] =>
[HINT] =>
[~NAME] => Запись вебинара
[~DEFAULT_VALUE] =>
[VALUE_ENUM] =>
[VALUE_XML_ID] =>
[VALUE_SORT] =>
[VALUE] =>
[PROPERTY_VALUE_ID] =>
[DESCRIPTION] =>
[~DESCRIPTION] =>
[~VALUE] =>
)
[PROHIBIT_ONLINE_PURCHASE] => Array
(
[ID] => 123
[IBLOCK_ID] => 2
[NAME] => Запретить покупу онлайн
[ACTIVE] => Y
[SORT] => 500
[CODE] => PROHIBIT_ONLINE_PURCHASE
[DEFAULT_VALUE] =>
[PROPERTY_TYPE] => L
[ROW_COUNT] => 1
[COL_COUNT] => 30
[LIST_TYPE] => C
[MULTIPLE] => N
[XML_ID] =>
[FILE_TYPE] =>
[MULTIPLE_CNT] => 5
[LINK_IBLOCK_ID] => 0
[WITH_DESCRIPTION] => N
[SEARCHABLE] => N
[FILTRABLE] => N
[IS_REQUIRED] => N
[VERSION] => 1
[USER_TYPE] =>
[USER_TYPE_SETTINGS] =>
[HINT] =>
[~NAME] => Запретить покупу онлайн
[~DEFAULT_VALUE] =>
[VALUE_ENUM] =>
[VALUE_XML_ID] =>
[VALUE_SORT] =>
[VALUE] =>
[PROPERTY_VALUE_ID] =>
[DESCRIPTION] =>
[~DESCRIPTION] =>
[~VALUE] =>
[VALUE_ENUM_ID] =>
)
)
[DISPLAY_PROPERTIES] => Array
(
[DATE] => Array
(
[ID] => 47
[IBLOCK_ID] => 2
[NAME] => Дата начало проведения
[ACTIVE] => Y
[SORT] => 5
[CODE] => DATE
[DEFAULT_VALUE] =>
[PROPERTY_TYPE] => S
[ROW_COUNT] => 1
[COL_COUNT] => 30
[LIST_TYPE] => L
[MULTIPLE] => N
[XML_ID] =>
[FILE_TYPE] =>
[MULTIPLE_CNT] => 5
[LINK_IBLOCK_ID] => 0
[WITH_DESCRIPTION] => N
[SEARCHABLE] => N
[FILTRABLE] => N
[IS_REQUIRED] => N
[VERSION] => 1
[USER_TYPE] => DateTime
[USER_TYPE_SETTINGS] =>
[HINT] =>
[~NAME] => Дата начало проведения
[~DEFAULT_VALUE] =>
[VALUE_ENUM] =>
[VALUE_XML_ID] =>
[VALUE_SORT] =>
[VALUE] => 14.12.2020 13:29:00
[PROPERTY_VALUE_ID] => 71106
[DESCRIPTION] =>
[~VALUE] => 14.12.2020 13:29:00
[~DESCRIPTION] =>
[DISPLAY_VALUE] => 14.12.2020 13:29:00
)
[CITY] => Array
(
[ID] => 48
[IBLOCK_ID] => 2
[NAME] => Город
[ACTIVE] => Y
[SORT] => 9
[CODE] => CITY
[DEFAULT_VALUE] => Москва
[PROPERTY_TYPE] => S
[ROW_COUNT] => 1
[COL_COUNT] => 30
[LIST_TYPE] => L
[MULTIPLE] => N
[XML_ID] =>
[FILE_TYPE] =>
[MULTIPLE_CNT] => 5
[LINK_IBLOCK_ID] => 0
[WITH_DESCRIPTION] => N
[SEARCHABLE] => N
[FILTRABLE] => N
[IS_REQUIRED] => Y
[VERSION] => 1
[USER_TYPE] =>
[USER_TYPE_SETTINGS] =>
[HINT] =>
[~NAME] => Город
[~DEFAULT_VALUE] => Москва
[VALUE_ENUM] =>
[VALUE_XML_ID] =>
[VALUE_SORT] =>
[VALUE] => Москва
[PROPERTY_VALUE_ID] => 31481
[DESCRIPTION] =>
[~VALUE] => Москва
[~DESCRIPTION] =>
[DISPLAY_VALUE] => Москва
)
[DATES] => Array
(
[ID] => 46
[IBLOCK_ID] => 2
[NAME] => Даты проведения, расписание
[ACTIVE] => Y
[SORT] => 10
[CODE] => DATES
[DEFAULT_VALUE] =>
[PROPERTY_TYPE] => S
[ROW_COUNT] => 1
[COL_COUNT] => 30
[LIST_TYPE] => L
[MULTIPLE] => Y
[XML_ID] =>
[FILE_TYPE] =>
[MULTIPLE_CNT] => 2
[LINK_IBLOCK_ID] => 0
[WITH_DESCRIPTION] => N
[SEARCHABLE] => N
[FILTRABLE] => N
[IS_REQUIRED] => N
[VERSION] => 1
[USER_TYPE] => DateTime
[USER_TYPE_SETTINGS] =>
[HINT] =>
[~NAME] => Даты проведения, расписание
[~DEFAULT_VALUE] =>
[VALUE_ENUM] =>
[VALUE_XML_ID] =>
[VALUE_SORT] =>
[VALUE] => Array
(
[0] => 14.12.2020 13:29:00
[1] => 18.12.2020 13:29:00
)
[PROPERTY_VALUE_ID] => Array
(
[0] => 71107
[1] => 71108
)
[DESCRIPTION] => Array
(
[0] =>
[1] =>
)
[~VALUE] => Array
(
[0] => 14.12.2020 13:29:00
[1] => 18.12.2020 13:29:00
)
[~DESCRIPTION] => Array
(
[0] =>
[1] =>
)
[DISPLAY_VALUE] => Array
(
[0] => 14.12.2020 13:29:00
[1] => 18.12.2020 13:29:00
)
)
[METOD_TEACHING] => Array
(
[ID] => 59
[IBLOCK_ID] => 2
[NAME] => Метод обучения
[ACTIVE] => Y
[SORT] => 30
[CODE] => METOD_TEACHING
[DEFAULT_VALUE] =>
[PROPERTY_TYPE] => L
[ROW_COUNT] => 1
[COL_COUNT] => 30
[LIST_TYPE] => C
[MULTIPLE] => Y
[XML_ID] =>
[FILE_TYPE] =>
[MULTIPLE_CNT] => 5
[LINK_IBLOCK_ID] => 0
[WITH_DESCRIPTION] => N
[SEARCHABLE] => N
[FILTRABLE] => N
[IS_REQUIRED] => N
[VERSION] => 1
[USER_TYPE] =>
[USER_TYPE_SETTINGS] =>
[HINT] =>
[~NAME] => Метод обучения
[~DEFAULT_VALUE] =>
[VALUE_ENUM] => Array
(
[0] => В аудитории
)
[VALUE_XML_ID] => Array
(
[0] => audience_method
)
[VALUE_SORT] => Array
(
[0] => 150
)
[VALUE] => Array
(
[0] => В аудитории
)
[PROPERTY_VALUE_ID] => Array
(
[0] => 69722
)
[VALUE_ENUM_ID] => Array
(
[0] => 20
)
[DESCRIPTION] => Array
(
[0] =>
)
[~VALUE] => Array
(
[0] => В аудитории
)
[~DESCRIPTION] => Array
(
[0] =>
)
[DISPLAY_VALUE] => В аудитории
)
)
[PRODUCT_PROPERTIES] => Array
(
)
[PRODUCT_PROPERTIES_FILL] => Array
(
)
[OFFERS] => Array
(
)
[OFFER_ID_SELECTED] => 0
[CHECK_QUANTITY] =>
[ITEM_PRICE_MODE] => S
[ITEM_PRICES] => Array
(
[0] => Array
(
[UNROUND_BASE_PRICE] => 45000
[UNROUND_PRICE] => 45000
[BASE_PRICE] => 45000
[PRICE] => 45000
[ID] => 198
[PRICE_TYPE_ID] => 1
[CURRENCY] => RUB
[DISCOUNT] => 0
[PERCENT] => 0
[QUANTITY_FROM] =>
[QUANTITY_TO] =>
[QUANTITY_HASH] => ZERO-INF
[MEASURE_RATIO_ID] =>
[PRINT_BASE_PRICE] => 45 000 ₽
[RATIO_BASE_PRICE] => 45000
[PRINT_RATIO_BASE_PRICE] => 45 000 ₽
[PRINT_PRICE] => 45 000 ₽
[RATIO_PRICE] => 45000
[PRINT_RATIO_PRICE] => 45 000 ₽
[PRINT_DISCOUNT] => 0 ₽
[RATIO_DISCOUNT] => 0
[PRINT_RATIO_DISCOUNT] => 0 ₽
[MIN_QUANTITY] => 1
)
)
[ITEM_QUANTITY_RANGES] => Array
(
[ZERO-INF] => Array
(
[HASH] => ZERO-INF
[QUANTITY_FROM] =>
[QUANTITY_TO] =>
[SORT_FROM] => 0
[SORT_TO] => INF
)
)
[ITEM_MEASURE_RATIOS] => Array
(
[198] => Array
(
[ID] => 198
[RATIO] => 1
[IS_DEFAULT] => Y
[PRODUCT_ID] => 1284
)
)
[ITEM_MEASURE] => Array
(
[ID] => 5
[TITLE] => шт
[~TITLE] => шт
)
[ITEM_MEASURE_RATIO_SELECTED] => 198
[ITEM_QUANTITY_RANGE_SELECTED] => ZERO-INF
[ITEM_PRICE_SELECTED] => 0
[EDIT_LINK] =>
[DELETE_LINK] =>
[SECTION] => Array
(
[PATH] => Array
(
)
)
[CAN_BUY] => 1
[ITEM_PRICES_CAN_BUY] => 1
)
)
[ELEMENTS] => Array
(
[0] => 1285
[1] => 1283
[2] => 1284
)
[USE_CATALOG_BUTTONS] => Array
(
[add_product] => 1
)
)
06 - 07 Августа
19 - 20 Ноября
