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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

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Product type Paperback
Published in Sep 2017
Publisher Packt
ISBN-13 9781787122383
Length 740 pages
Edition 2nd Edition
Languages
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Author (1):
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Patrick R. Nicolas Patrick R. Nicolas
Author Profile Icon Patrick R. Nicolas
Patrick R. Nicolas
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Table of Contents (21) Chapters Close

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 16

[16:1] Parallel Collections: Overview – Scala Documentation A. Prokopec, H. Miller - http://docs.scala-lang.org/overviews/parallel-collections/overview.html

[16:2] Parallel Collections: Measuring Performance, Scala Documentation A. Prokopec, H. Miller - http://docs.scala-lang.org/overviews/parallel-collections/overview.html

[16:3] The Actor Model: Towards Better Concurrency D. Bereznitsky - Java Edge 2009 - http://www.slideshare.net/drorbr/the-actor-model-towards-better-concurrency

[16:4] Scala for the impatient §14.17 Partial Functions C Horstmann - Addison-Wesley 2012

[16:5] Programming in Scala; a Comprehensive Step-by-Step Guide 2nd edition §30.3 Treating native threads as actors M. Odersky, L. Spoon, B. Venners - Artima 2008

[16:6] Deprecating the Observer Pattern I. Maier, T Rompf, M. Odersky - Ecole Polytechnique Federale de Lausanne

[16:7] Introducing Akka J. Boner - Typesafe 2012 - http://www.slideshare.net/jboner/introducing-akka

[16:8] Akka Essentials...

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