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Scala for Machine Learning, Second Edition - Second Edition

You're reading from Scala for Machine Learning, Second Edition - Second Edition

Product type Book

Published in Sep 2017

Publisher Packt

ISBN-13 9781787122383

Pages 740 pages

Edition 2nd Edition

Languages

Concepts

Machine Learning

Table of Contents (27) Chapters

Scala for Machine Learning Second Edition

Credits

About the Author

About the Reviewers

www.PacktPub.com

Customer Feedback

Preface

1. Getting Started

2. Data Pipelines

3. Data Preprocessing

4. Unsupervised Learning

5. Dimension Reduction

6. Naïve Bayes Classifiers

7. Sequential Data Models

8. Monte Carlo Inference

9. Regression and Regularization

10. Multilayer Perceptron

11. Deep Learning

12. Kernel Models and SVM

13. Evolutionary Computing

14. Multiarmed Bandits

15. Reinforcement Learning

16. Parallelism in Scala and Akka

17. Apache Spark MLlib

Basic Concepts

References

Index

Mathematical notations for the curious

Each chapter contains a small section dedicated to the formulation of the algorithms for those interested in the mathematical concepts behind the science and art of machine learning. These sections are optional and defined within a tip box.

For example, the mathematical expression of the mean and the variance of a variable, X, as mentioned in a tip box will be as follows:

Note

Convention and notation

This book uses the 0 zero-based indexing of datasets in mathematical formulas.

M1: A set of N observations is denoted as {x_i} = x₀, x₁ …., x_N-1 and the arithmetic mean value for the random value with xi as values is defined as:

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Scala for Machine Learning, Second Edition - Second Edition

Published in: Sep 2017 Publisher: Packt ISBN-13: 9781787122383

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