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Баннер
ЯндексЯндекс
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Книга: Лю Юси (Хэйден), Мирджалили Вахид, Рашка Себастьян "Машинное обучение с PyTorch и Scikit-Learn"
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Описание
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Машинное обучение с PyTorch и Scikit-Learn

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Артикул Маркета
103228509851
ISBN
9786011100342
Автор
Рашка С.
Год издания
Обложка
Все характеристики
Внешний вид товаров и/или упаковки может быть изменён изготовителем и отличаться от изображенных на Яндекс Маркете.
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Цена с картой Яндекс Пэй:2 198 ₽
Скидка: 1%
–1 %
Вместо: 2 220 ₽
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Осталось 3 шт
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Книга: Лю Юси (Хэйден), Мирджалили Вахид, Рашка Себастьян "Машинное обучение с P...
Машинное обучение с PyTorch и Scikit-Learn
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БХВ
Магазин•4.8 838 оценок
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  • Грокаем машинное обучение / книги по программированию
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    32 %
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    Машинное обучение с помощью Python для всех Руководство по созданию систем машинного обучения от основ до мощных инструментов Книга Феннер Марк
    Рейтинг товара: 5.0 из 5на основе 1 оценка
      , 
    Цена 2 892 ₽
    Пэй
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  • Глубокое обучение
    2 %
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    Глубокое обучение
    Рейтинг товара: 5.0 из 5на основе 1 оценка
      , 
    Цена 3 580 ₽
    Пэй
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  • Машинное обучение: основы, алгоритмы и практика применения
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    Машинное обучение: основы, алгоритмы и практика применения
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  • Глубокое обучение
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    Глубокое обучение
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      , 
    Цена 2 256 ₽
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  • Машинное обучение с помощью Python. Руководство для специалистов по работе с данными
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    Прикладные структуры данных и алгоритмы. Прокачиваем навыки
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    Нейросети на Python. Основы ИИ и машинного обучения
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  • PyTorch. Освещая глубокое обучение
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    PyTorch. Освещая глубокое обучение
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О товаре

Исчерпывающее руководство по машинному (МО) и глубокому обучению с использованием языка программирования Python, фреймворка PyTorch и библиотеки scikit-learn. Рассмотрены основы МО, алгоритмы для задач классификации, классификаторы на основе scikit-learn, предварительная обработка и сжатие данных, современные методы оценки моделей и объединение различных моделей для ансамблевого обучения. Рассказано о применении МО для анализа текста и прогнозировании непрерывных целевых переменных с помощью регрессионного анализа, кластерном анализе и обучении без учителя, показано построение многослойной искусственной нейронной сети с нуля. Раскрыты продвинутые возможности PyTorch для решения сложных задач. Описано применение глубоких сверточных и рекуррентных нейронных сетей, трансформеров, генеративных состязательных и графовых нейронных сетей, Особое внимание уделено обучению с подкреплением для систем принятия решений в сложных средах. Электронный архив содержит цветные иллюстрации и коды всех примеров.
Для программистов в области машинного обучения
Артикул Маркета
103228509851
Бренд
Фолиант
ISBN
9786011100342
Год издания
2024
Автор
Рашка С.
Направление нехудожественной литературы
информационные технологии
Тираж
1500 шт.
Количество страниц
688
Обложка
мягкий
Бумага
офсетная
Формат
25x17x2
Вес
877 г
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Внешний вид товаров и/или упаковки может быть изменён изготовителем и отличаться от изображенных на Яндекс Маркете.
Возрастное ограничение 18+
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Вопросы о товаре
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Войдите в аккаунтИ тогда откроется корзина, а цены на Маркете могут стать ниже
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