Mastering Java Machine Learning by Dr. Uday Kamath, Krishna Choppella
Requirements: Any ePUB Reader, 140mb
Overview: Comprehensive coverage of key topics in machine learning with an emphasis on both the theoretical and practical aspects
More than 15 open source Java tools in a wide range of techniques, with code and practical usage.
More than 10 real-world case studies in machine learning highlighting techniques ranging from data ingestion up to analyzing the results of experiments, all preparing the user for the practical, real-world use of tools and data analysis.
This book will appeal to anyone with a serious interest in topics in Data Science or those already working in related areas: ideally, intermediate-level data analysts and data scientists with experience in Java. Preferably, you will have experience with the fundamentals of machine learning and now have a desire to explore the area further, are up to grappling with the mathematical complexities of its algorithms, and you wish to learn the complete ins and outs of practical machine learning.
Genre: Non-Fiction> Programming > Languages & Tools



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