Machine Learning

Practical Machine Learning with H2O: Powerful, Scalable Techniques for Deep Learning and AI

Practical Machine Learning with H20: Powerful, Scalable Techniques for Deep Learning and AI by Darren Cook
English | 31 Dec. 2016 | ISBN: 149196460X | 300 Pages | AZW3/MOBI/EPUB/PDF (conv) | 17.61 MB

In Practical Machine Learning with H2O, author Darren Cook introduces readers to H2O, an open-source machine learning package that is gaining popularity in the data science community.

Machine Learning for Cyber Physical Systems  eBooks & eLearning

Posted by Underaglassmoon at Dec. 3, 2016
Machine Learning for Cyber Physical Systems

Machine Learning for Cyber Physical Systems
Springer | Engineering | December 29, 2016 | ISBN-10: 3662538059 | 72 pages | pdf | 2.87 mb

Editors: Beyerer, Jürgen, Niggemann, Oliver, Kühnert, Christian (Eds.)
Selected papers from the International Conference ML4CPS 2016
Includes the full proceedings of the 2016 ML4CPS – Machine Learning for Cyber Physical Systems Conference
Presents recent and new advances in automated machine learning methods
Provides an accessible and succinct overview on machine learning for cyber physical systems

R Machine Learning solutions  eBooks & eLearning

Posted by naag at Dec. 10, 2016
R Machine Learning solutions

R Machine Learning solutions
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 8.5 Hours | 1.81 GB
Genre: eLearning | Language: English

R is a statistical programming language that provides impressive tools to analyze data and create high-level graphics. This video course will take you from very basics of R to creating insightful machine learning models with R. You will start with setting up the environment and then perform data ETL in R.

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

Building Machine Learning Projects with TensorFlow  eBooks & eLearning

Posted by AlenMiler at Dec. 9, 2016
Building Machine Learning Projects with TensorFlow

Building Machine Learning Projects with TensorFlow by Rodolfo Bonnin
English | 24 Nov. 2016 | ISBN: 1786466589 | 282 Pages | AZW3/MOBI/EPUB/PDF (conv) | 34.32 MB

Machine Learning: Algorithms and Applications  eBooks & eLearning

Posted by arundhati at Dec. 8, 2016
Machine Learning: Algorithms and Applications

Mohssen Mohammed, Muhammad Badruddin Khan, "Machine Learning: Algorithms and Applications"
2016 | ISBN-10: 1498705383 | 226 pages | EPUB | 6 MB

Genetic Algorithms in Search, Optimization, and Machine Learning  eBooks & eLearning

Posted by Willson at Dec. 8, 2016
Genetic Algorithms in Search, Optimization, and Machine Learning

David E. Goldberg, "Genetic Algorithms in Search, Optimization, and Machine Learning"
English | 1989 | ISBN: 0201157675, 817758829X | 432 pages | DJVU | 4 MB

Financial Signal Processing and Machine Learning  eBooks & eLearning

Posted by roxul at Dec. 8, 2016
Financial Signal Processing and Machine Learning

Ali N. Akansu, "Financial Signal Processing and Machine Learning"
English | ISBN: 1118745671 | 2016 | 320 pages | PDF | 4 MB
Machine Learning Paradigms: Artificial Immune Systems and their Applications in Software Personalization

Dionysios Sotiropoulos and George A. Tsihrintzis, "Machine Learning Paradigms: Artificial Immune Systems and their Applications in Software Personalization"
English | ISBN: 3319471929 | 2016 | 344 pages | PDF | 7 MB

Learning From Data - Introductory Machine Learning Course  eBooks & eLearning

Posted by FenixN at Nov. 28, 2016
Learning From Data - Introductory Machine Learning Course

Learning From Data - Introductory Machine Learning Course
HDRips | MP4/AVC, ~222 kb/s | 1280x720 | Duration: 23:36:03 | English: AAC, 96 kb/s (2 ch) | 3.22 GB
Genre: Science

This introductory computer science course in machine learning will cover basic theory, algorithms, and applications. Machine learning is a key technology in Big Data, and in many financial, medical, commercial, and scientific applications. It enables computational systems to automatically learn how to perform a desired task based on information extracted from the data. Machine learning has become one of the hottest fields of study today and the demand for jobs is only expected to increase. Gaining skills in this field will get you one step closer to becoming a data scientist or quantitative analyst.