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 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

MATLAB Machine Learning  eBooks & eLearning

Posted by hill0 at Jan. 20, 2017
MATLAB Machine Learning

MATLAB Machine Learning by Michael Paluszek
English | 31 Jan. 2017 | ISBN: 1484222490 | 348 Pages | PDF | 9.87 MB

This book is a comprehensive guide to machine learning with worked examples in MATLAB. It starts with an overview of the history of Artificial Intelligence and automatic control and how the field of machine learning grew from these. It provides descriptions of all major areas in machine learning.

Machine Learning Using R  eBooks & eLearning

Posted by hill0 at Jan. 20, 2017
Machine Learning Using R

Machine Learning Using R by Karthik Ramasubramanian
English | 10 Jan. 2017 | ISBN: 1484223330 | 592 Pages | PDF | 11.47 MB

This book is inspired by the Machine Learning Model Building Process Flow, which provides the reader the ability to understand a ML algorithm and apply the entire process of building a ML model from the raw data.
Learning Deep Architectures for AI (Foundations and Trends(r) in Machine Learning)

Learning Deep Architectures for AI (Foundations and Trends(r) in Machine Learning) by Yoshua Bengio
English | Oct. 28, 2009 | ISBN: 1601982941 | 130 Pages | PDF | 1 MB

Can machine learning deliver AI? Theoretical results, inspiration from the brain and cognition, as well as machine learning experiments suggest that in order to learn the kind of complicated functions that can represent high-level abstractions (e.g. in vision, language, and other AI-level tasks), one would need deep architectures. Deep architectures are composed of multiple levels of non-linear operations, such as in neural nets with many hidden layers, graphical models with many levels of latent variables, or in complicated propositional formulae re-using many sub-formulae.

Thoughtful Machine Learning with Python: A Test-Driven Approach  eBooks & eLearning

Posted by AlenMiler at Jan. 19, 2017
Thoughtful Machine Learning with Python: A Test-Driven Approach

Thoughtful Machine Learning with Python: A Test-Driven Approach by Matthew Kirk
English | 25 Aug. 2016 | ISBN: 1491924136 | 250 Pages | AZW3/MOBI/EPUB/PDF (conv) | 16.77 MB

By teaching you how to code machine-learning algorithms using a test-driven approach, this practical book helps you gain the confidence you need to use machine learning effectively in a business environment.

Machine Learning Control – Taming Nonlinear Dynamics and Turbulence (Repost)  eBooks & eLearning

Posted by nebulae at Jan. 17, 2017
Machine Learning Control – Taming Nonlinear Dynamics and Turbulence (Repost)

Duriez, Thomas, Brunton, Steven L., Noack, Bernd R., "Machine Learning Control – Taming Nonlinear Dynamics and Turbulence"
English | 2016 | ISBN-10: 331940623X | 211 pages | pdf | 9 MB

Financial Signal Processing and Machine Learning  eBooks & eLearning

Posted by ksveta6 at Jan. 12, 2017
Financial Signal Processing and Machine Learning

Financial Signal Processing and Machine Learning (Wiley - IEEE) by Ali N. Akansu, Sanjeev R. Kulkarni, Dmitry M. Malioutov
2016 | ISBN: 1118745671 | English | 320 pages | PDF/EPUB | 4 MB/34 MB

Machine Learning, Optimization, and Big Data  eBooks & eLearning

Posted by hill0 at Dec. 26, 2016
Machine Learning, Optimization, and Big Data

Machine Learning, Optimization, and Big Data: Second International Workshop, MOD 2016, Volterra, Italy, August 26-29, 2016, Revised Selected Papers (Lecture Notes in Computer Science) by Panos M Pardalos
English | 30 Jan. 2017 | ISBN: 3319514687 | 456 Pages | PDF | 27.03 MB

This book constitutes revised selected papers from the Second International Workshop on Machine Learning, Optimization, and Big Data, MOD 2016, held in Volterra, Italy, in August 2016.

R: Recipes for Analysis, Visualization and Machine Learning  eBooks & eLearning

Posted by AlenMiler at Dec. 9, 2016
R: Recipes for Analysis, Visualization and Machine Learning

R: Recipes for Analysis, Visualization and Machine Learning by Viswa Viswanathan
English | 24 Nov. 2016 | ASIN: B01N7AE091 | 959 pages | AZW3/MOBI/EPUB/PDF (conv) | 111.63 MB

Get savvy with R language and actualize projects aimed at analysis, visualization and machine learning