(eBook PDF) Hands-On Machine Learning with Scikit-Learn and TensorFlow

(eBook PDF) Hands-On Machine Learning with Scikit-Learn and TensorFlow – Digital Ebook – Instant Delivery Download

Product details:

• ISBN-10 ‏ : ‎ 1492032646
• ISBN-13 ‏ : ‎ 978-1492032649
• Author: Aurélien Géron

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 Tensor Flow—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.

Table of contents:

Part I. The Fundamentals of Machine Learning

1. The Machine Learning Landscape.

2. End-to-End Machine Learning Project

3. Classification

4. Training Models

5. Support Vector Machines

6. Decision Trees

7. Ensemble Learning and Random Forests

8. Dimensionality Reduction

Part II. Neural Networks and Deep Learning

9. Up and Running with TensorFlow

10. Introduction to Artificial Neural Networks

11. Training Deep Neural Nets

12. Distributing TensorFlow Across Devices and Servers

13. Convolutional Neural Networks

14. Recurrent Neural Networks

15. Autoencoders

16. Reinforcement Learning

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