Scala for machine learning : data processing, ML algorithms, smart analytics, and more [E-Book] / Patrick R. Nicolas.
The discovery of information through data clustering and classification is becoming a key differentiator for competitive organizations. Machine learning applications are everywhere, from self-driving cars, engineering design, logistics, manufacturing, and trading strategies, to detection of genetic...
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Full text |
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Personal Name(s): | Nicolas, Patrick R., author |
Edition: |
2nd edition |
Imprint: |
Birmingham :
Packt Publishing,
2017
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Physical Description: |
740 pages (online resource) |
Note: |
englisch |
ISBN: |
9781787122383 9781787126206 1787122387 178712620X |
Subject (LOC): |
- Scala for machine learning : data processing, ML algorithms, smart analytics, and more, second edition
- Credits
- About the Author
- About the Reviewers
- www.PacktPub.com
- Customer Feedback
- Table of Contents
- Preface
- Chapter 1: Getting Started
- Chapter 2: Data Pipelines
- Chapter 3: Data Preprocessing
- Chapter 4: Unsupervised Learning
- Chapter 5: Dimension Reduction
- Chapter 6: Naïve Bayes Classifiers
- Chapter 7: Sequential Data Models
- Chapter 8: Monte Carlo Inference
- Chapter 9: Regression and Regularization
- Chapter 10: Multilayer Perceptron
- Chapter 11: Deep Learning
- Chapter 12: Kernel Models and SVM
- Chapter 13: Evolutionary Computing
- Chapter 14: Multiarmed Bandits
- Chapter 15: Reinforcement Learning
- Chapter 16: Parallelism in Scala and Akka
- Chapter 17: Apache Spark MLlib
- Appendix A: Basic Concepts
- Appendix B: References.