"Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow" - Information and Links:

Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow - Info and Reading Options

Concepts, Tools, and Techniques to Build Intelligent Systems

Book's cover
The cover of “Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow” - Open Library.
Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow - cover - The Open Library
Book's cover - The Open Library
Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow - cover - Google Books
Book's cover - Google Books

"Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow" was published by O'Reilly Media in Oct 15, 2019, the book is rated 5/5 in google books from 2 ratings, the book is classified in Computers genre, it has 856 pages and the language of the book is English.


“Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow” Metadata:

  • Title: ➤  Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow
  • Author:
  • Language: English
  • Google Books Rating: 5/5 from 2 Ratings.
  • Number of Pages: 856
  • Is Family Friendly: Yes - No Mature Content
  • Publisher: O'Reilly Media
  • Publish Date:
  • Genres: Computers
  • Library of Congress Classification: QA76.73.P98G45 2019

“Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow” Subjects and Themes:

Edition Specifications:

  • Format: paperback

Edition Identifiers:

AI-generated Review of “Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow”:


Snippets and Summary:

Now fully updated, this bestselling book uses concrete examples, minimal theory, and two production-ready Python frameworks--Scikit-Learn and TensorFlow 2--to help users gain an intuitive understanding of the concepts and tools for building ...

"Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow" Description:

Google Books:

Now fully updated, this bestselling book uses concrete examples, minimal theory, and two production-ready Python frameworks--Scikit-Learn and TensorFlow 2--to help users gain an intuitive understanding of the concepts and tools for building intelligent systems.t systems.

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