Original PDF Ebook – Mastering Java Machine Learning1st Edition – 9781785880513
Become an advanced practitioner with this progressive set of master classes on application-oriented machine learning_x000D_About This Book_x000D_
Comprehensive coverage of key topics in machine learning with an emphasis on both the theoretical and practical aspects_x000D_
More than 15 open source Java tools in a wide range of techniques, with code and practical usage._x000D_
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._x000D_
Who This Book Is For_x000D_
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._x000D_
What You Will Learn_x000D_
Master key Java machine learning libraries, and what kind of problem each can solve, with theory and practical guidance._x000D_
Explore powerful techniques in each major category of machine learning such as classification, clustering, anomaly detection, graph modeling, and text mining._x000D_
Apply machine learning to real-world data with methodologies, processes, applications, and analysis._x000D_
Techniques and experiments developed around the latest specializations in machine learning, such as deep learning, stream data mining, and active and semi-supervised learning._x000D_
Build high-performing, real-time, adaptive predictive models for batch- and stream-based big data learning using the latest tools and methodologies.
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