Mapreduce Machine Learning

Scaling up Machine Learning: Parallel and Distributed Approaches (Repost)  eBooks & eLearning

Posted by roxul at Nov. 2, 2015
Scaling up Machine Learning: Parallel and Distributed Approaches (Repost)

Ron Bekkerman, "Scaling up Machine Learning: Parallel and Distributed Approaches"
English | ISBN: 0521192242 | 2012 | 492 pages | PDF | 7 MB

Udemy - Machine Learning and Statistical Modeling with R Examples  eBooks & eLearning

Posted by naag at Oct. 10, 2015
Udemy - Machine Learning and Statistical Modeling with R Examples

Udemy - Machine Learning and Statistical Modeling with R Examples
MP4 | Video: 1280x720 | 56 kbps | 48 KHz | Duration: 3 Hours | 531 MB
Genre: eLearning | Language: English

Learn how to use machine learning algorithms and statistical modeling for clustering, decision trees, etc by using R

Scaling up Machine Learning: Parallel and Distributed Approaches  eBooks & eLearning

Posted by nebulae at Dec. 30, 2013
Scaling up Machine Learning: Parallel and Distributed Approaches

Ron Bekkerman, "Scaling up Machine Learning: Parallel and Distributed Approaches"
English | ISBN: 0521192242 | 2012 | 492 pages | PDF | 7 MB

Machine Learning with Python: The Basics  eBooks & eLearning

Posted by naag at March 24, 2017
Machine Learning with Python: The Basics

Machine Learning with Python: The Basics
2017 | English | ASIN: B06XT6M64L | 210 pages | PDF + EPUB (conv) | 0.7 Mb

Mastering .NET Machine Learning  eBooks & eLearning

Posted by readerXXI at March 23, 2017
Mastering .NET Machine Learning

Mastering .NET Machine Learning
by Jamie Dixon
English | 2016 | ISBN: 1785888404 | 358 Pages | PDF | 6.34 MB

This book is targeted at .NET developers who want to build complex machine learning systems. Some basic understanding of data science is required.

Lynda - Machine Learning Essential Training: Value Estimations  eBooks & eLearning

Posted by U.N.Owen at March 22, 2017
Lynda - Machine Learning Essential Training: Value Estimations

Lynda - Machine Learning Essential Training: Value Estimations
Size: 157 MB | Duration: 1h 5m | Video: AVC (.mp4) 1280x720 15&30fps | Audio: AAC 48KHz 2ch
Genre: eLearning | Level: Intermediate | Language: English

Value estimation—one of the most common types of machine learning algorithms—can automatically estimate values by looking at related information.

R Machine Learning By Example  eBooks & eLearning

Posted by readerXXI at March 22, 2017
R Machine Learning By Example

R Machine Learning By Example
by Raghav Bali and Dipanjan Sarkar
English | 2016 | ISBN: 1784390844 | 339 Pages | PDF | 6.19 MB

Understand the fundamentals of machine learning with R and build your own dynamic algorithms to tackle complicated real-world problems successfully.

Building Machine Learning Systems with Python (2nd Revised edition) (Repost)  eBooks & eLearning

Posted by insetes at March 19, 2017
Building Machine Learning Systems with Python (2nd Revised edition) (Repost)

Building Machine Learning Systems with Python (2nd Revised edition) By Luis Pedro Coelho, Willi Richert
2015 | 326 Pages | ISBN: 1784392774 | EPUB + PDF | 16 MB

MACHINE LEARNING with NEURAL NETWORKS using MATLAB  eBooks & eLearning

Posted by naag at March 18, 2017
MACHINE LEARNING with NEURAL NETWORKS using MATLAB

MACHINE LEARNING with NEURAL NETWORKS using MATLAB
2017 | English | ASIN: B06XC21FZV | 382 pages | PDF + EPUB (conv) | 21 Mb

Machine Learning is a method used to devise complex models and algorithms that lend themselves to prediction; in commercial use, this is known as predictive analytics. These analytical models allow researchers, data scientists, engineers, and analysts to produce reliable, repeatable decisions and results" and uncover "hidden insights" through learning from historical relationships and trends in the data.

Machine Learning in Medical Imaging (Repost)  eBooks & eLearning

Posted by DZ123 at March 15, 2017
Machine Learning in Medical Imaging (Repost)

Guorong Wu, Daoqiang Zhang, Luping Zhou, "Machine Learning in Medical Imaging"
English | 2014 | ISBN: 3319105809 | PDF | pages: 332 | 33.5 mb