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Advanced Machine Learning with Python

You're reading from Advanced Machine Learning with Python Solve challenging data science problems by mastering cutting-edge machine learning techniques in Python

Product type Paperback

Published in Jul 2016

Publisher Packt

ISBN-13 9781784398637

Length 278 pages

Edition 1st Edition

Languages

Python

Concepts

Machine Learning

Table of Contents (12) Chapters

Preface

1. Unsupervised Machine Learning FREE CHAPTER

2. Deep Belief Networks

3. Stacked Denoising Autoencoders

4. Convolutional Neural Networks

5. Semi-Supervised Learning

6. Text Feature Engineering

7. Feature Engineering Part II

8. Ensemble Methods

9. Additional Python Machine Learning Tools

A. Chapter Code Requirements

Index

Further reading

A well-informed overview of autoencoders (amongst other subjects) is provided by Quoc V. Le from the Google Brain team. Read about it at https://cs.stanford.edu/~quocle/tutorial2.pdf.

This chapter used the Theano documentation available at http://deeplearning.net/tutorial/contents.html as a base for discussion as Theano was the main library used in this chapter.

The rest of the chapter is locked

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