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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 15

[15:1] Reinforcement Learning: An introduction R.S. Sutton, A. Barto - MIT Press 1998

[15:2] Reinforcement Learning and Plan Recognition M. Veloso - Computer Science Dept. Carnegie Mellon University 2001 - http://www.cs.cmu.edu/~reids/planning/handouts/RL-HMM.pdf

[15:3] Reinforcement learning: A Brief Tutorial D. Precup - Reasoning and Learning Lab, McGill University 2005 - http://www.iro.umontreal.ca/~lisa/seminaires/14-09-2005.pdf

[15:4] Programming in Scala 2nd Edition §18 Stateful Objects M. Odersky, L. Spoon, B. Venners - Artima 2008

[15:5] Scala for the Impatient §15.6 Annotations for Optimizations C. Horstmann - Addison-Wesley 2012

[15:6] Reinforcement Learning for automatic financial trading: Introduction and some applications F. Bertoluzzo, M. Corazza, Ca'Foscari - University of Venice 2012 - http://www.unive.it/media/allegato/DIP/Economia/Working_papers/Working_papers_2012/WP_DSE_bertoluzzo_corazza_33_12.pdf

[15:7] The Options Institute tutorial - Chicago...

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