Зарегистрироваться
Восстановить пароль
FAQ по входу

Ryan Mark. Deep Learning with Structured Data

  • Файл формата pdf
  • размером 28,50 МБ
  • Добавлен пользователем
  • Описание отредактировано
Ryan Mark. Deep Learning with Structured Data
Manning Publications, 2020. — 266 p. — ISBN 1617296724, 9781617296727.
Deep learning offers the potential to identify complex patterns and relationships hidden in data of all sorts.
Deep Learning with Structured Data shows you how to apply powerful deep learning analysis techniques to the kind of structured, tabular data you’ll find in the relational databases that real-world businesses depend on. Filled with practical, relevant applications, this book teaches you how deep learning can augment your existing machine learning and business intelligence systems.
Purchase of the print book includes a free eBook in PDF, Kindle, and EPUB formats from Manning Publications.
  • Чтобы скачать этот файл зарегистрируйтесь и/или войдите на сайт используя форму сверху.
  • Регистрация

Смотри также

Подробнее

Deisenroth M.P. Faisal A.A., Cheng S.O. Mathematics for Machine Learning

  • pdf
Cambridge: Cambridge University Press, 2020. — 398 p. — ISBN: 110845514X. Machine learning is the latest in a long line of attempts to distill human knowledge and reasoning into a form that is suitable for constructing machines and engineering automated systems. As machine learning becomes more ubiquitous and its software packages become easier to use, it is natural and...
  • 16,29 МБ
  • добавлен
  • описание отредактировано
Подробнее

Howard Jeremy, Gugger Sylvain. Deep Learning for Coders with fastai and PyTorch: AI Applications Without a PhD

  • pdf
O’Reilly Media, Inc., 2020. — 624 p. — ISBN: 978-1492045526. Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first...
  • 32,82 МБ
  • добавлен
  • описание отредактировано
Подробнее

Raff Edward. Inside Deep Learning: Math, Algorithms, Models

  • pdf
Manning Publications, 2022. — 602 p. — ISBN 13: 978-1617298639. Written for everyday developers, there are no complex mathematical proofs or unnecessary academic theory in Inside Deep Learning. Journey through the theory and practice of modern deep learning, and apply innovative techniques to solve everyday data problems. Inside Deep Learning is a fast-paced beginner's guide to...
  • 78,24 МБ
  • добавлен
  • описание отредактировано
Подробнее

Teofili T. Deep Learning for Search

  • pdf
Manning Publications, 2019. — 327 p. — ISBN: 1617294799. Deep Learning for Search is a practical book about how to use (deep) neural networks to help build effective search engines. This book examines several components of a search engine, providing insights on how they work and guidance on how neural networks can be used in each context. Emphasis is given to practical,...
  • 7,68 МБ
  • добавлен
  • описание отредактировано
Подробнее

Theodoridis S. Machine Learning: A Bayesian and Optimization Perspective

  • pdf
2nd Edition. — Academic Press, 2020. — 1160 p. — ISBN: 9780128188033. This book, Second Edition, gives a unifying perspective on machine learning by covering both probabilistic and deterministic approaches based on optimization techniques combined with the Bayesian inference approach. The book builds from the basic classical methods to recent trends, making it suitable for...
  • 21,42 МБ
  • добавлен
  • описание отредактировано
Наверх