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Mastering Java Machine Learning
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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.
I would like to thank my friend, Krishna Choppella, for accepting the offer to co-author this book and being an able partner on this long but satisfying journey.
Heartfelt thanks to our reviewers, especially Dr. Samir Sahli for his valuable comments, suggestions, and in-depth review of the chapters. I would like to thank Professor Carlotta Domeniconi for her suggestions and comments that helped us shape various chapters in the book. I would also like to thank all the Packt staff, especially Divya Poojari, Mayur Pawanikar, and Vivek Arora, for helping us complete the tasks in time. This book required making a lot of sacrifices on the personal front and I would like to thank my wife, Pratibha, and our nanny, Evelyn, for their unconditional support. Finally, thanks to all my lovely teachers and professors for not only teaching the subjects, but also instilling the joy of learning.
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.