Applied Machine Learning For Beginners

Machine Learning for Audio, Image and Video Analysis: Theory and Applications (2nd edition) [repost]

Machine Learning for Audio, Image and Video Analysis: Theory and Applications (2nd edition) By Francesco Camastra, Alessandro Vinciarelli
2015 | 580 Pages | ISBN: 1447167341 | PDF | 11 MB

Scala:Applied Machine Learning  eBooks & eLearning

Posted by AlenMiler at March 3, 2017
Scala:Applied Machine Learning

Scala:Applied Machine Learning by Pascal Bugnion
English | 23 Feb. 2017 | ISBN-13: 9781787126640 | 1843 Pages | EPUB/PDF (conv) | 33.15 MB

Leverage the power of Scala and master the art of building, improving, and validating scalable machine learning and AI applications using Scala's most advanced and finest features.

Machine Learning for Absolute Beginners  eBooks & eLearning

Posted by AlenMiler at Feb. 28, 2017
Machine Learning for Absolute Beginners

Machine Learning for Absolute Beginners by Oliver Theobald
English | 18 Feb. 2017 | ASIN: B06VXKBLNG | 69 Pages | EPUB/PDF (conv) | 1.13 MB

The manner in which computers are now able to mimic human thinking to process information is rapidly exceeding human capabilities in everything from chess to picking the winner of a song contest.

Statistical Modeling and Machine Learning for Molecular Biology  eBooks & eLearning

Posted by interes at Feb. 25, 2017
Statistical Modeling and Machine Learning for Molecular Biology

Statistical Modeling and Machine Learning for Molecular Biology by Alan Moses
English | 2016 | ISBN: 1482258595 | 280 pages | PDF | 7,6 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.

Machine Learning for Healthcare Technologies  eBooks & eLearning

Posted by AvaxGenius at Feb. 13, 2017
Machine Learning for Healthcare Technologies

Machine Learning for Healthcare Technologies ByDavid A. Clifton
English |PDF | 2015 | 317 Pages | ISBN : 1849199787 | 16.26 MB

This book provides a snapshot of the state of current research at the interface between machine learning and healthcare with special emphasis on machine learning projects that are (or are close to) achieving improvement in patient outcomes.

Machine Learning for Human Motion Analysis: Theory and Practice (Repost)  eBooks & eLearning

Posted by step778 at Feb. 6, 2017
Machine Learning for Human Motion Analysis: Theory and Practice (Repost)

Liang Wang, Li Cheng, Guoying Zhao, "Machine Learning for Human Motion Analysis: Theory and Practice"
2009 | pages: 318 | ISBN: 1605669008 | PDF | 10,0 mb

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.

Machine Learning for Health Informatics: State-of-the-Art and Future Challenges  eBooks & eLearning

Posted by hill0 at Dec. 11, 2016
Machine Learning for Health Informatics: State-of-the-Art and Future Challenges

Machine Learning for Health Informatics: State-of-the-Art and Future Challenges (Lecture Notes in Computer Science) by Andreas Holzinger
English | 4 Jan. 2017 | ISBN: 3319504770 | 504 Pages | EPUB | 4.74 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.