Machine Learning

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

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.

An Introduction to Machine Learning with Web Data [repost]  eBooks & eLearning

Posted by FenixN at Nov. 28, 2016
An Introduction to Machine Learning with Web Data [repost]

An Introduction to Machine Learning with Web Data
HDRips | MP4/AVC, ~1200 kb/s | 1280x720 | Duration: 02:43:22 | English: AAC, 128 kb/s (2 ch) | 1.43 GB
Genre: Development / Programming

Once you've accumulated a pile of data through your web application, what do you do with it? In this insightful video course, bit.ly lead scientist Hilary Mason shows you how to solve data analysis problems using basic machine learning techniques and frameworks. You'll follow several examples through the entire process—from obtaining, cleaning, and exploring data to building a model and interpreting the results.

Python Machine Learning Solutions  eBooks & eLearning

Posted by FenixN at Nov. 25, 2016
Python Machine Learning Solutions

Python Machine Learning Solutions
HDRips | MP4/AVC, ~461 kb/s | 1280x720 | Duration: 04:27:23 | English: AAC, 128 kb/s (2 ch) | 1.05 GB
Genre: Development / Programming

100 videos that teach you how to perform various machine learning tasks in the real world.

Learning Path: Machine Learning  eBooks & eLearning

Posted by FenixN at Nov. 21, 2016
Learning Path: Machine Learning

Learning Path: Machine Learning
HDRips | MP4/AVC, ~1440 kb/s | 1920/1080 | 1280x720 | Duration: 23:52:47 | English: AAC, 128 kb/s (2 ch)
Size: 21.8 GB | Genre: Development / Programming

With the growing prominence of data science and its uses across all types of business, it's the perfect time to start applying machine learning. In this Learning Path, you'll master everything you need to transform data into action. Start with basic techniques and move on to coding your own machine learning algorithms.
Machine Learning in Medical Imaging: Third International Workshop, MLMI 2012, Held in Conjunction with MICCAI 2012, Nice, Franc

Machine Learning in Medical Imaging: Third International Workshop, MLMI 2012, Held in Conjunction with MICCAI 2012, Nice, France, October 1, 2012, … Papers
English | November 13, 2012 | ISBN: 3642354270| 287 Pages | PDF | 21 MB

This book constitutes the refereed proceedings of the Third International Workshop on Machine Learning in Medical Imaging, MLMI 2012, held in conjunction with MICCAI 2012, in Nice, France, in October 2012.
Machine Learning in Medical Imaging: Second International Workshop, MLMI 2011, Held in Conjunction with MICCAI 2011, Toronto, C

Machine Learning in Medical Imaging: Second International Workshop, MLMI 2011, Held in Conjunction with MICCAI 2011, Toronto, Canada, September 18, …
English | September 13, 2011 | ISBN: 3642243185 | 388 Pages | PDF | 10 MB

This book constitutes the refereed proceedings of the Second International Workshop on Machine Learning in Medical Imaging, M.L.M.I. 2011, held in conjunction with M.I.C.C.A.I. 2011, in Toronto, Canada, in September 2011.
Machine Learning in Medical Imaging: First International Workshop, MLMI 2010, Held in Conjunction with MICCAI 2010, Beijing, Ch

Machine Learning in Medical Imaging: First International Workshop, MLMI 2010, Held in Conjunction with MICCAI 2010, Beijing, China, September 20, 2010, Proceedings
English | September 3, 2010 | ISBN: 3642159478 | 199 Pages | PDF | 5 MB

The first International Workshop on Machine Learning in Medical Imaging, MLMI 2010, was held at the China National Convention Center, Beijing, China on September 20, 2010 in conjunction with the International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2010. Machine learning plays an essential role in the medical imaging field, including image segmentation, image registration, computer-aided diagnosis, image fusion, image- guided therapy, image annotation, and image database retrieval. With advances in medical imaging, new imaging modalities, and methodologies such as cone-beam/multi-slice CT, 3D Ultrasound, tomosynthesis, diffusion-weighted MRI, electrical impedance to- graphy, and diffuse optical tomography, new machine-learning algorithms/applications are demanded in the medical imaging field.
Machine Learning for Multimodal Interaction: 5th International Workshop, MLMI 2008, Utrecht, The Netherlands, September 8-10, 2

Machine Learning for Multimodal Interaction: 5th International Workshop, MLMI 2008, Utrecht, The Netherlands, September 8-10, 2008, Proceedings
English | October 7, 2008 | ISBN: 3540858520 | 375 Pages | PDF | 43 MB

This book constitutes the refereed proceedings of the 5th International Workshop on Machine Learning for Multimodal Interaction, MLMI 2008, held in Utrecht, The Netherlands, in September 2008. The 12 revised full papers and 15 revised poster papers presented together with 5 papers of a special session on user requirements and evaluation of multimodal meeting browsers/assistants were carefully reviewed and selected from 47 submissions.
Machine Learning for Multimodal Interaction: 4th International Workshop, MLMI 2007, Brno, Czech Republic, June 28-30, 2007, Rev

Machine Learning for Multimodal Interaction: 4th International Workshop, MLMI 2007, Brno, Czech Republic, June 28-30, 2007, Revised Selected Papers
English | April 10, 2008 | ISBN: 3540781544 | 317 Pages | PDF | 22 MB

This book constitutes the thoroughly refereed post-proceedings of the 4th International Workshop on Machine Learning for Multimodal Interaction, MLMI 2007, held in Brno, Czech Republic, in June 2007. The 25 revised full papers presented together with 1 invited paper were carefully selected during two rounds of reviewing and revision from 60 workshop presentations.