This book introduces an array of advanced techniques in machine learning. Authors Dr. Uday Kamath and Krishna Choppella cover topics 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.

The book uses illustrative examples and real-world case studies to show how to apply the newly learned techniques using sound methodologies and the best Java-based tools available today..

Author: Dr. Uday Kamath and Krishna Choppella
Publisher: Packt Publishing
Date: August 2017
Pages: 556
ISBN: 978-1785880513
Print: 1785880519
Kindle: B01KOG6SW8
Audience: Java developers interested in machine learning
Level: Advanced
Category: Artificial Intelligence

• 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.

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