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Mastering Java Machine Learning
Mastering Java Machine Learning

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

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Profile Icon Kamath Profile Icon Krishna Choppella
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$19.99 per month
Full star icon Full star icon Full star icon Half star icon Empty star icon 3.4 (9 Ratings)
Paperback Jul 2017 556 pages 1st Edition
eBook
$34.29 $48.99
Paperback
$60.99
Subscription
Free Trial
Renews at $19.99p/m
Arrow left icon
Profile Icon Kamath Profile Icon Krishna Choppella
Arrow right icon
$19.99 per month
Full star icon Full star icon Full star icon Half star icon Empty star icon 3.4 (9 Ratings)
Paperback Jul 2017 556 pages 1st Edition
eBook
$34.29 $48.99
Paperback
$60.99
Subscription
Free Trial
Renews at $19.99p/m
eBook
$34.29 $48.99
Paperback
$60.99
Subscription
Free Trial
Renews at $19.99p/m

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Mastering Java Machine Learning

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Key benefits

  • Comprehensive coverage of key topics in machine learning with an emphasis on both the theoretical and practical aspects
  • More than 15 open source Java tools in a wide range of techniques, with code and practical usage.
  • More than 10 real-world case studies in machine learning highlighting techniques ranging from data ingestion up to analyzing the results of experiments, all preparing the user for the practical, real-world use of tools and data analysis.

Description

Java is one of the main languages used by practicing data scientists; much of the Hadoop ecosystem is Java-based, and it is certainly the language that most production systems in Data Science are written in. If you know Java, Mastering Machine Learning with Java is your next step on the path to becoming an advanced practitioner in Data Science. This book aims to introduce you to an array of advanced techniques in machine learning, including classification, clustering, anomaly detection, stream learning, active learning, semi-supervised learning, probabilistic graph modeling, text mining, deep learning, and big data batch and stream machine learning. Accompanying each chapter are illustrative examples and real-world case studies that show how to apply the newly learned techniques using sound methodologies and the best Java-based tools available today. On completing this book, you will have an understanding of the tools and techniques for building powerful machine learning models to solve data science problems in just about any domain.

Who is this book for?

This book will appeal to anyone with a serious interest in topics in Data Science or those already working in related areas: ideally, intermediate-level data analysts and data scientists with experience in Java. Preferably, you will have experience with the fundamentals of machine learning and now have a desire to explore the area further, are up to grappling with the mathematical complexities of its algorithms, and you wish to learn the complete ins and outs of practical machine learning.

What you will learn

  • * Master key Java machine learning libraries, and what kind of problem each can solve, with theory and practical guidance.
  • * Explore powerful techniques in each major category of machine learning such as classification, clustering, anomaly detection, graph modeling, and text mining.
  • * Apply machine learning to real-world data with methodologies, processes, applications, and analysis.
  • * Techniques and experiments developed around the latest specializations in machine learning, such as deep learning, stream data mining, and active and semi-supervised learning.
  • * Build high-performing, real-time, adaptive predictive models for batch- and stream-based big data learning using the latest tools and methodologies.
  • * Get a deeper understanding of technologies leading towards a more powerful AI applicable in various domains such as Security, Financial Crime, Internet of Things, social networking, and so on.

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Jul 11, 2017
Length: 556 pages
Edition : 1st
Language : English
ISBN-13 : 9781785880513
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Product Details

Publication date : Jul 11, 2017
Length: 556 pages
Edition : 1st
Language : English
ISBN-13 : 9781785880513
Category :
Languages :
Concepts :

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Frequently bought together


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Total $ 230.97
Java: Data Science Made Easy
$84.99
Mastering Java Machine Learning
$60.99
Deep Learning: Practical Neural Networks with Java
$84.99
Total $ 230.97 Stars icon

Table of Contents

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

Customer reviews

Top Reviews
Rating distribution
Full star icon Full star icon Full star icon Half star icon Empty star icon 3.4
(9 Ratings)
5 star 55.6%
4 star 0%
3 star 0%
2 star 22.2%
1 star 22.2%
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Top Reviews

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Satheesh Oct 04, 2018
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Excellent explanation and neat way of organizing
Amazon Verified review Amazon
Marcelo Zambrana Feb 15, 2018
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Great to get started wit ML even though it says Java ML the math, concepts, examples could be applied to other languages.Highly recommend!
Amazon Verified review Amazon
DKJ Oct 03, 2017
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This is a great book that will definitely help you understand various topics under the machine learning umbrella. I enjoy studying data science however I was having a little bit of difficulty understanding Bayesian networks. After spending some time reading the content around this topic I was able to obtain a clear understanding of how Bayesian networks are developed and how to use them in practice. Overall - good book in the data science arena to have in your library.
Amazon Verified review Amazon
yashevde Jul 28, 2017
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This is a fantastic book for all levels of knowledge and ability with Java and Machine Lewarning. It has been a tremendous resource for my study of the subject
Amazon Verified review Amazon
Nishikant D. Sep 17, 2017
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Excellent book and thoroughly written for beginner and advanced study.
Amazon Verified review Amazon
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