Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow
by Aurélien Géron 2020-07-11 00:50:30
image1
Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning ... Read more
Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how. By using concrete examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you’ve learned, all you need is programming experience to get started. Explore the machine learning landscape, particularly neural nets Use Scikit-Learn to track an example machine-learning project end-to-end Explore several training models, including support vector machines, decision trees, random forests, and ensemble methods Use the TensorFlow library to build and train neural nets Dive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learning Learn techniques for training and scaling deep neural nets Less
  • File size
  • Print pages
  • Publisher
  • Publication date
  • Language
  • ISBN
  • 9.2x7x1.2inches
  • 856
  • O'Reilly Media
  • October 1, 2019
  • eng
  • 9781492032618
Compare Prices
image
Paperback
Available Discount
12 % OFF
12% off Academic Book Titles (ebooks.com)

See More Details

Description: Back to School Promotion at eBooks.com. 12% off Academic book titles. Landing page is on our academics category page. Static image.

10 % OFF
Save 10% OFF on Student Text Books (ebooks.com)

See More Details

Description: Purchase textbooks at student discounts!

20 % OFF
20% Off on selected Categories

See More Details

Description: 20% Off these Categories- Body Mind & Spirit, Family & Relationships, Foreign Language Study, History, Sports & Recreation. Offer Lasts all through January.

Related Books