- Paperback: 556 pages
- Publisher: Packt Publishing - ebooks Account (July 11, 2017)
- Language: English
- ISBN-10: 1785880519
- ISBN-13: 978-1785880513
- Product Dimensions: 7.5 x 1.3 x 9.2 inches
- Shipping Weight: 2.1 pounds (View shipping rates and policies)
- Average Customer Review: 4 customer reviews
- Amazon Best Sellers Rank: #114,865 in Books (See Top 100 in Books)
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Mastering Java Machine Learning: A Java developer's guide to implementing machine learning and big data architectures Paperback – July 11, 2017
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"One of the best Machine Learning books of all time" - BookAuthority
About the Author
Dr. Uday Kamath is the chief data scientist at BAE Systems Applied Intelligence. He specializes in scalable machine learning and has spent 20 years in the domain of AML, fraud detection in financial crime, cyber security, and bioinformatics, to name a few. Dr. Kamath is responsible for key products in areas focusing on the behavioral, social networking and big data machine learning aspects of analytics at BAE AI. He received his PhD at George Mason University, under the able guidance of Dr. Kenneth De Jong, where his dissertation research focused on machine learning for big data and automated sequence mining.
Krishna Choppella builds tools and client solutions in his role as a solutions architect for analytics at BAE Systems Applied Intelligence. He has been programming in Java for 20 years. His interests are data science, functional programming, and distributed computing.
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