Python machine learning by example : implement machine learning algorithms and techniques to build intelligent systems, 2nd edition [E-Book] / Yuxi (Hayden) Liu.
The surge in interest in machine learning (ML) is due to the fact that it revolutionizes automation by learning patterns in data and using them to make predictions and decisions. If you're interested in ML, this book will serve as your entry point to ML. Python Machine Learning By Example begi...
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Personal Name(s): | Liu, Yuxi (Hayden), author |
Edition: |
2nd edition |
Imprint: |
[Birmingham] :
Packt Publishing,
2019
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Physical Description: |
370 pages (online resource) |
Note: |
englisch |
ISBN: |
9781789616729 9781789617559 |
Subject (ZB): | |
Subject (LOC): | |
Classification: |
- Python machine learning by example: implement machine learning algorithms and techniques to build intelligent systems, 2nd edition
- Dedication
- Foreword
- Contributors
- Table of Contents
- Preface
- Section 1: Fundamentals of Machine Learning
- 1. Getting Started with Machine Learning and Python
- Section 2: Practical Python Machine Learning By Example
- 2. Exploring the 20 Newsgroups Dataset with Text Analysis Techniques
- 3. Mining the 20 Newsgroups Dataset with Clustering and Topic Modeling Algorithms
- 4. Detecting Spam Email with Naive Bayes
- 5. Classifying Newsgroup Topics with Support Vector Machines
- 6. Predicting Online Ad Click-Through with Tree-Based Algorithms
- 7. Predicting Online Ad Click-Through with Logistic Regression
- 8. Scaling Up Prediction to Terabyte Click Logs
- 9. Stock Price Prediction with Regression Algorithms
- Section 3: Python Machine Learning Best Practices
- 10. Machine Learning Best Practices
- Other Books You May Enjoy
- Index.