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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.

What do you get with Print?

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Paperback book shipped to your preferred address

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Frequently bought together

Deep Learning: Practical Neural Networks with Java

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Amazon verified reviews

Satheesh Oct 04, 2018

Excellent explanation and neat way of organizing

Amazon Verified review

Marcelo Zambrana Feb 15, 2018

Great to get started wit ML even though it says Java ML the math, concepts, examples could be applied to other languages.Highly recommend!

DKJ Oct 03, 2017

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.

yashevde Jul 28, 2017

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

Nishikant D. Sep 17, 2017

Excellent book and thoroughly written for beginner and advanced study.

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

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