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Python Machine Learning By Example

You're reading from Python Machine Learning By Example Implement machine learning algorithms and techniques to build intelligent systems

Product type Paperback

Published in Feb 2019

Publisher Packt

ISBN-13 9781789616729

Length 382 pages

Edition 2nd Edition

Languages

Python

Tools

Keras

Concepts

Machine Learning

Author (1):

Yuxi (Hayden) Liu

View More author details

Table of Contents (15) Chapters

Preface

1. Section 1: Fundamentals of Machine Learning FREE CHAPTER

2. Getting Started with Machine Learning and Python

3. Section 2: Practical Python Machine Learning By Example

4. Exploring the 20 Newsgroups Dataset with Text Analysis Techniques

5. Mining the 20 Newsgroups Dataset with Clustering and Topic Modeling Algorithms

6. Detecting Spam Email with Naive Bayes

7. Classifying Newsgroup Topics with Support Vector Machines

8. Predicting Online Ad Click-Through with Tree-Based Algorithms

9. Predicting Online Ad Click-Through with Logistic Regression

10. Scaling Up Prediction to Terabyte Click Logs

11. Stock Price Prediction with Regression Algorithms

12. Section 3: Python Machine Learning Best Practices

13. Machine Learning Best Practices

14. Other Books You May Enjoy

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Exercise

As mentioned, can you add more signals to our stock prediction system, such as performance of other major indexes? Does this improve prediction?

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Authors (1)

Yuxi (Hayden) Liu

Yuxi (Hayden) Liu

Yuxi (Hayden) Liu was a Machine Learning Software Engineer at Google. With a wealth of experience from his tenure as a machine learning scientist, he has applied his expertise across data-driven domains and applied his ML expertise in computational advertising, cybersecurity, and information retrieval. He is the author of a series of influential machine learning books and an education enthusiast. His debut book, also the first edition of Python Machine Learning by Example, ranked the #1 bestseller in Amazon and has been translated into many different languages.

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