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Scala for Machine Learning Cover

Scala for Machine Learning

Leverage Scala and Machine Learning to construct and study systems that can learn from data

Publisher:Packt Publishing Limited
By: Patrick R. Nicolas  
Paid access
|Dec 2014
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Key Features

    Book Description

    What you will learn

    • Build dynamic workflows for scientific computing
    • Leverage open source libraries to extract patterns from time series
    • Write your own classification, clustering, or evolutionary algorithm
    • Perform relative performance tuning and evaluation of Spark
    • Master probabilistic models for sequential data
    • Experiment with advanced techniques such as regularization and kernelization
    • Solve big data problems with Scala parallel collections, Akka actors, and Apache Spark clusters
    • Apply key learning strategies to a technical analysis of financial markets

    Who this book is for

    Table of Contents

    1. Getting Started
    2. Hello World
    3. Data preprocessing
    4. Unsupervised Learning
    5. Naïve Bayes Classifiers
    6. Regression and Regularization
    7. Sequential Data Models HMM and CRF
    8. Kernel models and Support Vector Machines
    9. Artificial Neural Networks
    10. Genetic Algorithms
    11. Reinforcement learning
    12. Scalable Frameworks
    13. Appendix: Appendix
    14. Appendix B
    PDF ISBN: 978-1-78355-875-9
    Publisher: Packt Publishing Limited
    Copyright owner: © 2014 Packt Publishing Limited
    Publication date: 2014
    Language: English
    Pages: 624
    Related subjects:
    Computer sciences,
    Computer sciences, other

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