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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 3

[3:1] Programming in Scala 3rd edition §21.6 Context bounds, M. Odersky, L. Spoon, B. Venners - Artima 2016

[3:2] Moving Averages, Wikipedia, the free encyclopedia Wikimedia Foundation - http://en.wikipedia.org/wiki/Moving_average_model

[3:3] Forecasting with weighted moving averages P. Kumar, Kushmanda Manpower 2011

[3:4] Practical Guide to Data Smoothing & Filtering, T. Van Den Bogert - 1996 -http://isbweb.org/software/sigproc/bogert/filter.pdf

[3:5] Spectral density estimation, Wikipedia, the free encyclopedia Wikimedia Foundation - http://en.wikipedia.org/wiki/Spectral_estimation

[3:6] The Fast Fourier Transform and Its Applications E O. Brigham - Prentice-Hall 1988

[3:7] Fourier Transform Tutorial: Learn difficult engineering concepts through interactive flash programs - http://www.fourier-series.com/f-transform/

[3:8] The Cooley-Tukey Fast Fourier Transform Algorithm, C. S. Burrus OpenStax -http://cnx.org/content/m16334/latest/

[3:9] Apache Commons Math 3.3 API, Apache...

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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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