Mastering Java Machine Learning
Author | : | |
Rating | : | 4.66 (853 Votes) |
Asin | : | B01KOG6SW8 |
Format Type | : | |
Number of Pages | : | 278 Pages |
Publish Date | : | 2013-12-19 |
Language | : | English |
DESCRIPTION:
What You Will LearnMaster 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, str
yash shevde said Comprehensive and clear. 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
Uday KamathDr. 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. Uday Kamath is the chief data scientist at BAE Systems Applied Intelligence. His interests are data science, functional programming, and distributed computing.. Dr. Kenneth
Dr. Kenneth De Jong, where his dissertation research focused on machine learning for big data and automated sequence mining.Krishna ChoppellaKrishna Choppella builds tools and client solutions in his role as a solutions architect for analytics at BAE Systems Applied Intelligence. Uday KamathDr. Uday Kamath is the chief data scientist at BAE Systems Applied Intelligence. He has been programming in Java for 20 years. His interests are data science, functional programming, and distributed computing.. 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. Kamath is responsible for key products in areas focusing on the behavioral, social networking and big data machine learning a