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Mastering Java Machine Learning: A Java developer's guide to implementing machine learning and big data architectures by Dr. Uday Kamath; Krishna Choppella is a nonfiction available to read on EtoBox.

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Cover......Page 1 Copyright......Page 3 Credits......Page 5 Foreword......Page 7 About the Authors......Page 9 About the Reviewers......Page 10 www.PacktPub.com......Page 12 Customer Feedback......Page 13 Table of Contents......Page 17 Preface......Page 29 Chapter 1: Machine Learning Review......Page 39 Machine learning – history and definition......Page 41 What is not machine learning?......Page 42 Machine learning – concepts and terminology......Page 43 Machine learning – types and subtypes......Page 47 Datasets used in machine learning......Page 50 Machine learning applications......Page 53 Practical issues in machine learning......Page 54 Process......Page 56 Machine learning – tools and datasets......Page 60 Datasets......Page 63 Summary......Page 64 Chapter 2: Practical Approach to Real-World Supervised Learning......Page 67 Formal description and notation......Page 69 Basic label analysis......Page 70 Univariate feature analysis......Page 71 Data transformation and preprocessing......Page 72 Handling missing values......Page 73 Outliers......Page 75 Discretization......Page 76 Is sampling needed?......Page 77 Undersampling and oversampling......Page 78 Training, validation,

Who reads Mastering Java Machine Learning: A Java developer's guide to implementing machine learning and big data architectures?

Author

Dr. Uday Kamath; Krishna Choppella

Publisher

Packt Publishing - ebooks Account

Published

2017

Language

EN

ISBN

9780429103797

Category

nonfiction

Subjects

Business, Programming, Science

Rating

4.24 / 5 (147 ratings)

Updated

2026-03-14