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You're reading from Practical Machine Learning Learn how to build Machine Learning applications to solve real-world data analysis challenges with this Machine Learning book – packed with practical tutorials

Product type Paperback

Published in Jan 2016

Last Updated in Feb 2025

Publisher Packt

ISBN-13 9781784399689

Length 468 pages

Edition 1st Edition

Languages

Python

Tools

Apache Spark

Concepts

Machine Learning

Author (1):

Sunila Gollapudi

View More author details

Table of Contents (16) Chapters

Preface

1. Introduction to Machine learning FREE CHAPTER

2. Machine learning and Large-scale datasets

3. An Introduction to Hadoop's Architecture and Ecosystem

4. Machine Learning Tools, Libraries, and Frameworks

5. Decision Tree based learning

6. Instance and Kernel Methods Based Learning

7. Association Rules based learning

8. Clustering based learning

9. Bayesian learning

10. Regression based learning

11. Deep learning

12. Reinforcement learning

13. Ensemble learning

14. New generation data architectures for Machine learning

Index

Implementing linear and logistic regression

Refer to the source code provided for this chapter for implementing linear regression. (source code path .../chapter10/... under each of the folders for the technology)

Using Mahout

Refer to the folder .../mahout/chapter10/linearregressionexample/.

Refer to the folder .../mahout/chapter10/logisticregressionexample/.

Using R

Refer to the folder .../r/chapter10/linearregressionexample/.

Refer to the folder .../r/chapter10/logisticregressionexample/.

Using Spark

Refer to the folder .../spark/chapter10/linearregressionexample/.

Refer to the folder .../spark/chapter10/logisticregressionexample/.

Using scikit-learn

Refer to the folder .../python-scikit-learn/chapter10/linearregressionexample/

Refer to the folder .../python-scikit-learn/chapter10/logisticregressionexample/

Using Julia

Refer to the folder .../julia/chapter10/linearregressionexample/.

Refer to the folder .../julia/chapter10/logisticregressionexample/.

The rest of the chapter is locked

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