Machine Learning

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

Foundations of Machine Learning (Repost)  eBooks & eLearning

Posted by DZ123 at Jan. 16, 2017
Foundations of Machine Learning (Repost)

Mehryar Mohri, Afshin Rostamizadeh, Ameet Talwalkar, "Foundations of Machine Learning"
English | 2012 | ISBN: 026201825X | PDF | pages: 427 | 2.7 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 Using R  eBooks & eLearning

Posted by naag at Jan. 11, 2017
Machine Learning Using R

Machine Learning Using R by Karthik Ramasubramanian
English | 10 Jan. 2017 | ISBN: 1484223330 | 592 Pages | Epub | 8.33 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.

Machine Learning for Data Science  eBooks & eLearning

Posted by naag at Jan. 10, 2017
Machine Learning for Data Science

Machine Learning for Data Science
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 32 Hours | Lec: 38 | 1.98 GB
Genre: eLearning | Language: English

A primer on Machine Learning for Data Science. Revealed for everyday people, by the Backyard Data Scientist.
Machine Learning for Health Informatics: State-of-the-Art and Future Challenges (Lecture Notes in Computer Science)

Machine Learning for Health Informatics: State-of-the-Art and Future Challenges (Lecture Notes in Computer Science) by Andreas Holzinger
English | 10 Dec. 2016 | ISBN: 3319504770 | 504 Pages | PDF | 27 MB

Machine learning (ML) is the fastest growing field in computer science, and Health Informatics (HI) is amongst the greatest application challenges, providing future benefits in improved medical diagnoses, disease analyses, and pharmaceutical development. However, successful ML for HI needs a concerted effort, fostering integrative research between experts ranging from diverse disciplines from data science to visualization.

Mastering Machine Learning With scikit-learn (Repost)  eBooks & eLearning

Posted by DZ123 at Jan. 8, 2017
Mastering Machine Learning With scikit-learn (Repost)

Gavin Hackeling, "Mastering Machine Learning With scikit-learn"
English | 2014 | ISBN: 1783988363 | PDF | pages: 238 | 3.6 mb

Machine Learning Using R  eBooks & eLearning

Posted by hill0 at Jan. 6, 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.

MATLAB Machine Learning  eBooks & eLearning

Posted by hill0 at Jan. 5, 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.

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.