Machine Learning a Probabilistic Perpective

Machine Learning: A Probabilistic Perspective (Repost)  

Posted by nebulae at Nov. 19, 2015
Machine Learning: A Probabilistic Perspective (Repost)

Kevin P. Murphy, "Machine Learning: A Probabilistic Perspective"
English | ISBN: 0262018020 | 2012 | PDF | 1104 pages | 25,7 MB

Machine Learning: A Probabilistic Perspective (Repost)  eBooks & eLearning

Posted by Grev27 at Sept. 6, 2013
Machine Learning: A Probabilistic Perspective (Repost)

Kevin P. Murphy, "Machine Learning: A Probabilistic Perspective"
English | ISBN: 0262018020 | 2012 | PDF | 1104 pages | 25,7 MB

Machine Learning: A Probabilistic Perspective  

Posted by enmoys at Dec. 8, 2012
Machine Learning: A Probabilistic Perspective

Machine Learning: A Probabilistic Perspective By Kevin P. Murphy
2012 | 1104 Pages | ISBN: 0262018020 | PDF | 26 MB

Combinatorial Machine Learning: A Rough Set Approach  

Posted by alt_f4 at Sept. 27, 2015
Combinatorial Machine Learning: A Rough Set Approach

Combinatorial Machine Learning: A Rough Set Approach (Studies in Computational Intelligence) by Mikhail Moshkov
English | June 29, 2011 | ISBN: 3642209947 | 186 Pages | PDF | 2 MB

Decision trees and decision rule systems are widely used in different applicationsas algorithms for problem solving, as predictors, and as a way forknowledge representation. Reducts play key role in the problem of attribute(feature) selection.

Thoughtful Machine Learning: A Test-Driven Approach  

Posted by ksveta6 at Jan. 5, 2015
Thoughtful Machine Learning: A Test-Driven Approach

Thoughtful Machine Learning: A Test-Driven Approach by Matthew Kirk
2014 | ISBN: 1449374069 | English | 234 pages | PDF + EPUB | 6 MB + 19 MB

Multi-Agent Machine Learning: A Reinforcement Approach  eBooks & eLearning

Posted by Bayron at Oct. 19, 2014
Multi-Agent Machine Learning: A Reinforcement Approach

Multi-Agent Machine Learning: A Reinforcement Approach by H. M. Schwartz
English | 2014 | ISBN: 111836208X | 256 pages | EPUB | 13 MB

Learning Path: Machine Learning  eBooks & eLearning

Posted by FenixN at Nov. 21, 2016
Learning Path: Machine Learning

Learning Path: Machine Learning
HDRips | MP4/AVC, ~1440 kb/s | 1920/1080 | 1280x720 | Duration: 23:52:47 | English: AAC, 128 kb/s (2 ch)
Size: 21.8 GB | Genre: Development / Programming

With the growing prominence of data science and its uses across all types of business, it's the perfect time to start applying machine learning. In this Learning Path, you'll master everything you need to transform data into action. Start with basic techniques and move on to coding your own machine learning algorithms.

Python: Real World Machine Learning  eBooks & eLearning

Posted by AlenMiler at Nov. 17, 2016
Python: Real World Machine Learning

Python: Real World Machine Learning by Prateek Joshi
English | 14 Nov. 2016 | ASIN: B01N74UY6B | ISBN-13: 9781787123212 | 983 Pages | MOBI/EPUB/PDF | 53.2 MB

Learn to solve challenging data science problems by building powerful machine learning models using Python.

Real-World Machine Learning  eBooks & eLearning

Posted by Grev27 at Oct. 5, 2016
Real-World Machine Learning

Henrik Brink, Joseph Richards, Mark Fetherolf , "Real-World Machine Learning"
English | ISBN: 1617291927 | 2016 | PDF/EPUB | 264 pages | 16 MB/7 MB

How Machines Learn: An Illustrated Guide to Machine Learning  eBooks & eLearning

Posted by AlenMiler at Sept. 5, 2016
How Machines Learn: An Illustrated Guide to Machine Learning

How Machines Learn: An Illustrated Guide to Machine Learning by Helen Edwards
English | 30 Aug. 2016 | ASIN: B01LBQLR6M | 63 Pages | PDF (True) | 15.03 MB

Artificial intelligence is changing our lives in ways we need to understand. Algorithms govern how we find information, how we learn, how we move, how we buy, what we buy, how we stay healthy, how we meet, whom we meet, how we are treated and what we are treated with.