Machine Learning Trading

Supervised Machine Learning in Security Applications  eBooks & eLearning

Posted by naag at April 18, 2018
Supervised Machine Learning in Security Applications

Supervised Machine Learning in Security Applications
MP4 | Video: AVC 1920x1080 | Audio: AAC 48KHz 2ch | Duration: 2.5 Hours | 4.32 GB
Genre: eLearning | Language: English

Machine Learning In The Cloud With Azure Machine Learning  eBooks & eLearning

Posted by IrGens at April 14, 2018
Machine Learning In The Cloud With Azure Machine Learning

Machine Learning In The Cloud With Azure Machine Learning
.MP4, AVC, 1000 kbps, 1280x720 | English, AAC, 128 kbps, 2 Ch | 3 hours | 529 MB
Instructor: Manuj Aggarwal

How to Become A Data Scientist Using Azure Machine Learning  eBooks & eLearning

Posted by naag at April 14, 2018
How to Become A Data Scientist Using Azure Machine Learning

How to Become A Data Scientist Using Azure Machine Learning
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1 Hours | Lec: 39 | 194 MB
Genre: eLearning | Language: English

Yes, Big Data is on everyone’s lips but what happens after that big data is ingested into a data lake?

Strata Data Conference - San Jose 2018: Data Science and Machine Learning Section  eBooks & eLearning

Posted by IrGens at April 5, 2018
Strata Data Conference - San Jose 2018: Data Science and Machine Learning Section

Strata Data Conference - San Jose 2018: Data Science and Machine Learning Section
.MP4, AVC, 5000 kbps, 1920x1080 | English, AAC, 128 kbps, 2 Ch | 12.3 hours | 26.5 GB

Machine Learning for iOS Developers  eBooks & eLearning

Posted by naag at April 4, 2018
Machine Learning for iOS Developers

Machine Learning for iOS Developers
MP4 | Video: AVC 1280x720 | Audio: AAC 48KHz 2ch | Duration: 1.5 Hours | 601 MB
Genre: eLearning | Language: English

Mastering Machine Learning with Spark 2.x  eBooks & eLearning

Posted by tarantoga at April 2, 2018
Mastering Machine Learning with Spark 2.x

Alex Tellez, Max Pumperla, Michal Malohlava, "Mastering Machine Learning with Spark 2.x: Harness the potential of machine learning, through spark"
ISBN: 1785283456 | 2017 | EPUB | 323 pages | 13 MB

Mastering Java Machine Learning  eBooks & eLearning

Posted by tarantoga at April 2, 2018
Mastering Java Machine Learning

Uday Kamath, Krishna Choppella, "Mastering Java Machine Learning: A Java developer's guide to implementing machine learning and big data architectures"
ISBN: 1785880519 | 2017 | True EPUB | 556 pages | 35 MB

Machine Learning With Go  eBooks & eLearning

Posted by tarantoga at April 2, 2018
Machine Learning With Go

Daniel Whitenack, "Machine Learning With Go: Implement Regression, Classification, Clustering, Time-series Models, Neural Networks, and More using the Go Programming Language"
ISBN: 1785882104 | 2017 | EPUB | 304 pages | 5 MB

Machine Learning for OpenCV: Intelligent image processing with Python  eBooks & eLearning

Posted by First1 at April 2, 2018
Machine Learning for OpenCV: Intelligent image processing with Python

Machine Learning for OpenCV: Intelligent image processing with Python by Michael Beyeler
English | July 14th, 2017 | ISBN: 1783980281, 9781783980284 | 369 Pages | True PDF | 27.77 MB

Machine Learning is no longer just a buzzword, it is all around us: from protecting your email, to automatically tagging friends in pictures, to predicting what movies you like. Computer vision is one of today's most exciting application fields of Machine Learning, with Deep Learning driving innovative systems such as self-driving cars and Google’s DeepMind.
Machine Learning With Go: Implement Regression, Classification, Clustering, Time-series Models, Neural Networks, and More...

Machine Learning With Go: Implement Regression, Classification, Clustering, Time-series Models, Neural Networks, and More using the Go Programming Language by Daniel Whitenack
English | September 26th, 2017 | ISBN: 1785882104, 9781785882104 | 294 Pages | True PDF | 6.32 MB

The mission of this book is to turn readers into productive, innovative data analysts who leverage Go to build robust and valuable applications. To this end, the book clearly introduces the technical aspects of building predictive models in Go, but it also helps the reader understand how machine learning workflows are being applied in real-world scenarios.