Hands On Machine Learning with Scikit Learn Keras and TensorFlow is popular PDF and ePub book, written by Aurélien Géron in 2019-09-05, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Hands On Machine Learning with Scikit Learn Keras and TensorFlow can be Read Online from any device for your convenience.
Hands On Machine Learning with Scikit Learn Keras and TensorFlow Book PDF Summary
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
Detail Book of Hands On Machine Learning with Scikit Learn Keras and TensorFlow PDF
- Author : Aurélien Géron
- Release : 05 September 2019
- Publisher : "O'Reilly Media, Inc."
- ISBN : 9781492032595
- Genre : Computers
- Total Page : 851 pages
- Language : English
- PDF File Size : 9,5 Mb
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