Java Machine Learning (Packt Publishing)
Java Machine Learning (Packt Publishing)
Thursday, 10 August 2017

This book introduces an array of advanced techniques in machine learning. Authors Dr. Uday Kamath and Krishna Choppella cover topics including classification, clustering, anomaly detection, stream learning, active learning, semi-supervised learning, probabilistic graph modeling, text mining, deep learning, and big data batch and stream machine learning.

<ASIN:1785880519>

The book uses illustrative examples and real-world case studies to show how to apply the newly learned techniques using sound methodologies and the best Java-based tools available today..

Author: Dr. Uday Kamath and Krishna Choppella
Publisher: Packt Publishing
Date: August 2017
Pages: 556
ISBN: 978-1785880513
Print: 1785880519
Kindle: B01KOG6SW8
Audience: Java developers interested in machine learning
Level: Advanced
Category: Artificial Intelligence

 

 

  • 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.

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Pages: 516
ISBN:978-0735680944
Print:0735680949
Kindle:B00JG9JQ9C
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Rating: 4.5
Pros: Pragmatic introduction
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Publisher: Apress
Pages: 228
ISBN: 978-1484222706
Print: 1484222709
Kindle: B01N2KHVAZ
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Rating: 4.3
Reviewer: Ian Stirk

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