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Scala for Machine Learning, Second Edition

You're reading from Scala for Machine Learning, Second Edition Build systems for data processing, machine learning, and deep learning

Product type Paperback

Published in Sep 2017

Publisher Packt

ISBN-13 9781787122383

Length 740 pages

Edition 2nd Edition

Languages

Scala

Tools

Apache Spark

Concepts

Data Processing

Author (1):

Patrick R. Nicolas

View More author details

Table of Contents (21) Chapters

Preface

1. Getting Started FREE CHAPTER

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

A. Basic Concepts

B. References

Index

Chapter 6

[6:1] Probabilistic Graphical Models: Overview and Motivation, D. Koller - Stanford University - http://www.youtube.com

[6:2] Introduction to Machine Learning §3.2 Bayesian Decision Theory, E. Alpaydin - MIT Press 2004

[6:3] Machine Learning: A Probabilistic Perspective §10 Directed graphical models, K. Murphy - MIT Press 2012

[6:4] Probabilistic Entity-Relationship Models, PRMs, and Plate Models, D. Heckerman, C. Meek, D. Koller -Stanford University - http://robotics.stanford.edu/~koller/Papers/Heckerman+al:SRL07.pdf

[6:5] Think Bayes Bayesian Statistics Made Simple §1 Bayes's Theorem, A. Downey - Green Tea Press 2010 - http://greenteapress.com/thinkbayes/html/index.html

[6:6] Machine Learning: A Probabilistic Perspective Information §2.8.3 Theory-Mutual Information, K. Murphy – MIT Press 2012

[6:7] Introduction to Information Retrieval §13.2 Naïve Bayes text classification, C.D. Manning, P. Raghavan and H. Schütze, - Cambridge University...

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Authors (1)

R. Nicolas

R. Nicolas

Patrick R. Nicolas is the director of engineering at Agile SDE, California. He has more than 25 years of experience in software engineering and building applications in C++, Java, and more recently in Scala/Spark, and has held several managerial positions. His interests include real-time analytics, modeling, and the development of nonlinear models.

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