Machine Learning 2016

Deep Dive into Python Machine Learning (2016)  eBooks & eLearning

Posted by house23 at Jan. 3, 2017
Deep Dive into Python Machine Learning (2016)

Deep Dive into Python Machine Learning (2016)
MP4 | AVC 116kbps | English | 1280x720 | 25fps | 1h 45mins | AAC stereo 141kbps | 2.64 GB
Genre: Video Training

Deep learning is currently one of the best providers of solutions regarding problems in image recognition, speech recognition, object recognition, and natural language with its increasing number of libraries that are available in Python. The aim of deep learning is to develop deep neural networks by increasing and improving the number of training layers for each network, so that a machine learns more about the data until it’s as accurate as possible. Developers can avail the techniques provided by deep learning to accomplish complex machine learning tasks, and train AI networks to develop deep levels of perceptual recognition.

Computational Trust Models and Machine Learning (Repost)  eBooks & eLearning

Posted by naag at March 29, 2017
Computational Trust Models and Machine Learning (Repost)

Computational Trust Models and Machine Learning By Xin Liu, Anwitaman Datta, Ee-Peng Lim
2014 | 232 Pages | ISBN: 1482226669 | PDF | 2 MB

Mastering Machine Learning with scikit-learn  eBooks & eLearning

Posted by naag at March 28, 2017
Mastering Machine Learning with scikit-learn

Mastering Machine Learning with scikit-learn By Gavin Hackeling
2014 | 238 Pages | ISBN: 1783988363 | EPUB | 6.20 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.

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.

From Curve Fitting to Machine Learning  eBooks & eLearning

Posted by naag at March 14, 2017
From Curve Fitting to Machine Learning

From Curve Fitting to Machine Learning: An Illustrative Guide to Scientific Data Analysis and Computational Intelligence
Springer | Artificial Intelligence | May 25 2016 | ISBN-10: 3319325442 | 498 pages | EPUB | 27 mb

Machine Learning in Evolution Strategies  eBooks & eLearning

Posted by naag at March 13, 2017
Machine Learning in Evolution Strategies

Machine Learning in Evolution Strategies
Springer | Studies in Big Data | June 26, 2016 | ISBN-10: 331933381X | 110 pages | EPUB | 0.4 mb

Machine Learning Refined: Foundations, Algorithms, and Applications  eBooks & eLearning

Posted by nebulae at Feb. 26, 2017
Machine Learning Refined: Foundations, Algorithms, and Applications

Jeremy Watt, "Machine Learning Refined: Foundations, Algorithms, and Applications"
English | ISBN: 1107123526 | 2016 | 298 pages | True PDF | 31 MB

Machine Learning: The New AI  eBooks & eLearning

Posted by tarantoga at Feb. 23, 2017
Machine Learning: The New AI

Ethem Alpaydin, "Machine Learning: The New AI"
ISBN: 0262529513 | 2016 | EPUB/PDF | 224 pages | 419 KB/2 MB

A First Course in Machine Learning, 2nd Edition  eBooks & eLearning

Posted by ksveta6 at Feb. 21, 2017
A First Course in Machine Learning, 2nd Edition

A First Course in Machine Learning, Second Edition (Machine Learning & Pattern Recognition) by Simon Rogers, Mark Girolami
2016 | ISBN: 1498738486 | English | 427 pages | PDF | 161 MB