Machine Learning By Example

R Machine Learning By Example  eBooks & eLearning

Posted by AlenMiler at April 4, 2016
R Machine Learning By Example

R Machine Learning By Example by Raghav Bali
English | May 5, 2016 | ISBN: 1784390844 | 340 Pages | AZW3/MOBI/EPUB/PDF (conv) | 41.62 MB

If you are interested in mining useful information from data using state-of-the-art techniques to make data-driven decisions, this is a go-to guide for you.

Scala for Machine Learning by Patrick R. Nicolas [Repost]  eBooks & eLearning

Posted by tanas.olesya at June 1, 2016
Scala for Machine Learning by Patrick R. Nicolas [Repost]

Scala for Machine Learning by Patrick R. Nicolas
English | 2014 | ISBN: 1783558741 | 520 Pages | PDF | 5 MB

The book begins with an introduction to the functional capabilities of the Scala programming language that are critical to the creation of machine learning algorithms such as dependency injection and implicits.
Principles of Data Mining (Adaptive Computation and Machine Learning) by David J. Hand[Repost]

Principles of Data Mining (Adaptive Computation and Machine Learning) (Scan) by David J. Hand
English | Aug 1, 2001 | ISBN: 026208290X | 546 Pages | PDF | 30 MB

The growing interest in data mining is motivated by a common problem across disciplines: how does one store, access, model, and ultimately describe and understand very large data sets? Historically, different aspects of data mining have been addressed independently by different disciplines.

Machine Learning by Tom M. Mitchell [Repost]  

Posted by tanas.olesya at Oct. 8, 2014
Machine Learning by Tom M. Mitchell [Repost]

Machine Learning by Tom M. Mitchell
McGraw-Hill Science/Engineering/Math; 1 edition | March 1, 1997 | English | ISBN: 0070428077 | 421 pages | PDF | 37 MB

This exciting addition to the McGraw-Hill Series in Computer Science focuses on the concepts and techniques that contribute to the rapidly changing field of machine learning–including probability and statistics, artificial intelligence, and neural networks–unifying them all in a logical and coherent manner. Machine Learning serves as a useful reference tool for software developers and researchers, as well as an outstanding text for college students.
Principles of Data Mining (Adaptive Computation and Machine Learning) by  David J. Hand

Principles of Data Mining (Adaptive Computation and Machine Learning) by David J. Hand, Heikki Mannila, Padhraic Smyth
Publisher: The MIT Press (August 1, 2001) | ISBN-10: 026208290X | PDF | 30,6 Mb | 425 pages

The growing interest in data mining is motivated by a common problem across disciplines: how does one store, access, model, and ultimately describe and understand very large data sets? Historically, different aspects of data mining have been addressed independently by different disciplines. This is the first truly interdisciplinary text on data mining, blending the contributions of information science, computer science, and statistics. The book consists of three sections. The first, foundations, provides a tutorial overview of the principles underlying data mining algorithms and their application. The presentation emphasizes intuition rather than rigor. The second section, data mining algorithms, shows how algorithms are constructed to solve specific problems in a principled manner.

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.

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.

Practical Machine Learning (Repost)  eBooks & eLearning

Posted by bookwarrior at Aug. 12, 2016
Practical Machine Learning (Repost)

Practical Machine Learning By Sunila Gollapudi
2016 | 468 Pages | ISBN: 178439968X | PDF (conv) | 17 MB

Scala for Machine Learning (Repost)  eBooks & eLearning

Posted by bookwarrior at July 30, 2016
Scala for Machine Learning (Repost)

Scala for Machine Learning By Patrick R. Nicolas
2014 | 520 Pages | ISBN: 1783558741 | PDF | 5 MB

Scala for Machine Learning (Repost)  eBooks & eLearning

Posted by tukotikko at July 7, 2016
Scala for Machine Learning (Repost)

Scala for Machine Learning By Patrick R. Nicolas
2014 | 520 Pages | ISBN: 1783558741 | PDF | 5 MB