Mastering Java Machine Learning

A must-have guide to mastering and implementing the complexities of Machine Learning in JavaAbout This Book* Master the tools, frameworks and Machine Learning techniques in Java* Build efficient predictive models and solutions to tackle real-world problems* Your one-stop guide to truly master Machine Learning using Java - the go-to language in data science todayWho This Book Is ForThis book appeals to those working in big data, ideally intermediate level data analysts and data scientists with good experience of using Java. It would be a best fit if you have experience with the fundamentals of Machine learning and now have the desire to learn and explore the area further to conquer the complexities and learn the complete ins and out using Java.What you will learn* Discover key Java machine learning libraries and what kind of problems each are able to solve* Explore powerful techniques in each major category of machine learning.* Apply machine learning to fraud, anomaly, and outlier detection* Experiment with deep learning concepts, algorithms, and the toolbox for deep learning* Build high-performing, real-time, adaptive predictive models for stream based data learning.* Get a deeper understanding of technologies leading towards a more powerful AI.In DetailJava is used as a dominant language for most Data science areas, including Hadoop being created in Java. Mastering Machine Learning with Java is your next step on the path to becoming an advanced practitioner in the field of Data Science.This book aims to introduce you to an array of advanced techniques in machine learning including supervised and semi-supervised learning, clustering and anomaly detection, big data and stream machine learning. This book will also present special topics such as probabilistic graph modeling and evolutionary programming methods. Accompanying each chapter are illustrative examples of how to apply the newly learned techniques with the help of the best available tools for the Java Virtual Machine.On completion of this book you will have the knowledge and tools to build powerful predictive models to meet the challenge of Big Data problems.

• | Author: Uday Kamath, Krishna Choppella
• | Publisher: Packt Publishing
• | Publication Date: Jun 30, 2017
• | Number of Pages: 462 pages
• | Language: English
• | Binding: Paperback
• | ISBN-10: 1785880519
• | ISBN-13: 9781785880513