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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):

R. Nicolas

View More author details

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 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

Basic Concepts

References

Index

Evolution

The theory of evolution, enunciated by Charles Darwin, describes the morphological adaptation of living organisms [10:3].

The origin

The Darwinian process consists of optimizing the morphology of organisms to adapt to the harshest environments—hydrodynamic optimization for fish, aerodynamic for birds, or stealth skills for predators. The following diagram shows a gene:

Visualization of a DNA strand

The (genetic) population of organisms varies over time. The number of individuals within a population changes, sometimes dramatically. These variations are usually associated with the abundance or lack of predators and prey as well as changing environments. Only the fittest organisms within the population are able to survive over time by adapting effectively to sudden changes in living environments and adjusting to unforeseen constraints.

NP problems

Nondeterministic Polynomial (NP) problems relate to the theory of computation and, more precisely, time and space complexity. Categories of...

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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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