Machine Learning Stanford

Coursera - Machine Learning (2015)  eBooks & eLearning

Posted by house23 at Feb. 17, 2016
Coursera - Machine Learning (2015)

Coursera - Machine Learning (2015)
MP4 | AVC 32kbps | English | 960x540 | 15fps | 19h 53mins | AAC stereo 128kbps | 1.52 GB
Genre: Video Training

Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI. In this class, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself. More importantly, you'll learn about not only the theoretical underpinnings of learning, but also gain the practical know-how needed to quickly and powerfully apply these techniques to new problems. Finally, you'll learn about some of Silicon Valley's best practices in innovation as it pertains to machine learning and AI.

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

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.