Mastering Java Machine Learning (2017) (Pdf,Epub,Mobi) Gooner

Publisher: Packt Publishing (4 Aug. 2017)
Author: Dr. Uday Kamath & Krishna Choppella 
Language: English
ISBN-10: 1785880519
ISBN-13: 9781785880513
ASIN: B01KOG6SW8

Become an advanced practitioner with this progressive set of master classes on application-oriented machine learning

About This Book:

> 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.

Who This Book Is For:

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.

What You Will Learn:

> Master 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, stream data mining, and active and semi-supervised learning.

> Build high-performing, real-time, adaptive predictive models for batch- and stream-based big data learning using the latest tools and methodologies.

> Get a deeper understanding of technologies leading towards a more powerful AI applicable in various domains such as Security, Financial Crime, Internet of Things, social networking, and so on