Machine Learning a Probabilistic Perpective

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

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  eBooks & eLearning

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
Reverse Hypothesis Machine Learning: A Practitioner's Perspective (Intelligent Systems Reference Library)

Reverse Hypothesis Machine Learning: A Practitioner's Perspective (Intelligent Systems Reference Library) by Parag Kulkarni
English | 2017 | ISBN: 3319553119 | 138 Pages | PDF | 3.23 MB

Reverse Hypothesis Machine Learning: A Practitioner's Perspective  eBooks & eLearning

Posted by AvaxGenius at March 30, 2017
Reverse Hypothesis Machine Learning: A Practitioner's Perspective

Reverse Hypothesis Machine Learning: A Practitioner's Perspective By Parag Kulkarni
English | PDF | 2017 | 150 Pages | ISBN : 3319553119 | 4.53 MB

This book introduces a paradigm of reverse hypothesis machines (RHM), focusing on knowledge innovation and machine learning. Knowledge- acquisition -based learning is constrained by large volumes of data and is time consuming.

Combinatorial Machine Learning: A Rough Set Approach  eBooks & eLearning

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  eBooks & eLearning

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

Python: Deeper Insights into Machine Learning  eBooks & eLearning

Posted by AlenMiler at April 24, 2017
Python: Deeper Insights into Machine Learning

Python: Deeper Insights into Machine Learning by Sebastian Raschka
English | 31 Aug. 2016 | ASIN: B01LD8K994 | 1547 Pages | AZW3 | 22.81 MB

Lynda - Mathematica 11 Machine Learning  eBooks & eLearning

Posted by U.N.Owen at April 21, 2017
Lynda - Mathematica 11 Machine Learning

Lynda - Mathematica 11 Machine Learning
Size: 121 MB | Duration: 1h 16m | Video: AVC (.mp4) 1280x720 15&30fps | Audio: AAC 48KHz 2ch
Genre: eLearning | Level: Intermediate | Language: English

Learn how to analyze data using the machine learning capabilities built into Mathematica 11.