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Mastering Java Machine Learning

You're reading from   Mastering Java Machine Learning A Java developer's guide to implementing machine learning and big data architectures

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Product type Paperback
Published in Jul 2017
Publisher Packt
ISBN-13 9781785880513
Length 556 pages
Edition 1st Edition
Languages
Concepts
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Authors (2):
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Uday Kamath Uday Kamath
Author Profile Icon Uday Kamath
Uday Kamath
Krishna Choppella Krishna Choppella
Author Profile Icon Krishna Choppella
Krishna Choppella
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Toc

Table of Contents (13) Chapters Close

Preface 1. Machine Learning Review 2. Practical Approach to Real-World Supervised Learning FREE CHAPTER 3. Unsupervised Machine Learning Techniques 4. Semi-Supervised and Active Learning 5. Real-Time Stream Machine Learning 6. Probabilistic Graph Modeling 7. Deep Learning 8. Text Mining and Natural Language Processing 9. Big Data Machine Learning – The Final Frontier A. Linear Algebra B. Probability Index

Index

A

  • Abstract-C / Abstract-C
  • active learning
    • about / Active learning
    • representation / Representation and notation
    • notation / Representation and notation
    • scenarios / Active learning scenarios
    • approaches / Active learning approaches
    • uncertainty sampling / Uncertainty sampling
    • version space sampling / Version space sampling
  • active learning, case study
    • about / Case study in active learning
    • tools / Tools and software
    • software / Tools and software
    • business problem / Business problem
    • machine learning, mapping / Machine learning mapping
    • data collection / Data Collection
    • data sampling / Data sampling and transformation
    • data transformation / Data sampling and transformation
    • feature analysis / Feature analysis and dimensionality reduction
    • dimensionality reduction / Feature analysis and dimensionality reduction
    • models / Models, results, and evaluation
    • results / Models, results, and evaluation
    • evaluation / Models, results, and evaluation
    • results, pool-based scenarios / Pool...
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