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.

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
Machine Learning Models and Algorithms for Big Data Classification: Thinking with Examples for Effective Learning

Machine Learning Models and Algorithms for Big Data Classification: Thinking with Examples for Effective Learning By Shan Suthaharan
2016 | 380 Pages | ISBN: 148997640X | PDF | 9 MB

Machine Learning for Cyber Physical Systems  eBooks & eLearning

Posted by hill0 at Feb. 18, 2017
Machine Learning for Cyber Physical Systems

Machine Learning for Cyber Physical Systems: Selected papers from the International Conference ML4CPS 2016 (Technologien für die intelligente Automation) by Jürgen Beyerer
English | 6 Dec. 2016 | ISBN: 3662538059 | 80 Pages | PDF | 2.87 MB

The work presents new approaches to Machine Learning for Cyber Physical Systems, experiences and visions. It contains some selected papers from the international Conference ML4CPS – Machine Learning for Cyber Physical Systems, which was held in Karlsruhe, September 29th, 2016.
Practical Machine Learning with H2O: Powerful, Scalable Techniques for Deep Learning and AI

Practical Machine Learning with H2O: Powerful, Scalable Techniques for Deep Learning and AI by Darren Cook
English | 2016 | ISBN: 149196460X | 300 pages | True PDF | 8,5 MB
Vital Introduction to Machine Learning with Python: Best Practices to Improve and Optimize Machine Learning Systems...

Vital Introduction to Machine Learning with Python: Best Practices to Improve and Optimize Machine Learning Systems and Algorithms (Computer Coding) by Jon Stinkster
English | 2016 | ISBN: 1520192207 | 76 pages | EPUB + azw3 | 0,1 + 0,2 MB

Introduzione al machine learning con R [repost]  eBooks & eLearning

Posted by naag at Jan. 24, 2017
Introduzione al machine learning con R [repost]

Introduzione al machine learning con R di Valentina Porcu
Italiano | 11 ottobre 2016 | ASIN: B01MDKU6M0 | 380 Pagine | AZW3/MOBI/EPUB/PDF (conv) | 16.09 MB

Machine Learning with TensorFlow  eBooks & eLearning

Posted by FenixN at Jan. 20, 2017
Machine Learning with TensorFlow

Machine Learning with TensorFlow
HDRips | MP4/AVC, ~240 kb/s | 1280x720 | Duration: 01:14:39 | English: AAC, 128 kb/s (2 ch) | 197 MB
Genre: Development / Programming

Tackle common machine learning problems with Google’s TensorFlow library and build deployable solutions