Fundamentals of Machine Learning For Predictive Data Analytics

Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies

Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies By John D. Kelleher
2015 | 624 Pages | ISBN: 0262029448 | EPUB | 7 MB
Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies

Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies by John D. Kelleher
English | July 24, 2015 | ISBN: 0262029448 | 624 Pages | AZW3/PDF (conv) | 24 MB

Machine learning is often used to build predictive models by extracting patterns from large datasets. These models are used in predictive data analytics applications including price prediction, risk assessment, predicting customer behavior, and document classification.

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

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.
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: First International Workshop, MLMI 2004, Martigny, Switzerland, June 21-23, 2004,

Machine Learning for Multimodal Interaction: First International Workshop, MLMI 2004, Martigny, Switzerland, June 21-23, 2004, Revised Selected Papers
English | June 13, 2008 | ISBN: 354024509X | 371 Pages | PDF | 7 MB

This book contains a selection of refereed papers presented at the 1st Workshop on Machine Learning for Multimodal Interaction (MLMI 2004), held at the "Centre du Parc," Martigny, Switzerland, during June 21-23, 2004. The workshop was organized and sponsored jointly by three European projects, - AMI, Augmented Multiparty Interaction, http: //www.amiproject.org - PASCAL, Pattern Analysis, Statistical Modeling and Computational Learning, http: //www.pascal-network.org - M4, Multi-modal Meeting Manager, http: //www.m4project.org as well as the Swiss National Centre of Competence in Research (NCCR): - IM2: Interactive Multimodal Information Management, http: //www.im2.ch MLMI 2004 was thus sponsored by the European Commission and the Swiss National Science Foundation.

Machine Learning for Email {Repost}  eBooks & eLearning

Posted by tanas.olesya at Sept. 10, 2016
Machine Learning for Email {Repost}

Machine Learning for Email: Spam Filtering and Priority Inbox by Drew Conway
English | 6 Nov. 2011 | ISBN: 1449314309 | 148 Pages | PDF/EPUB | 9/4 MB

If you’re an experienced programmer willing to crunch data, this concise guide will show you how to use machine learning to work with email. You’ll learn how to write algorithms that automatically sort and redirect email based on statistical patterns.
Machine Learning for Adaptive Many-Core Machines - A Practical Approach

Machine Learning for Adaptive Many-Core Machines - A Practical Approach (Studies in Big Data) by Noel Lopes and Bernardete Ribeiro
English | 2014 | ISBN: 3319069373, 331906939X | 241 pages | PDF | 18 MB

The overwhelming data produced everyday and the increasing performance and cost requirements of applications are transversal to a wide range of activities in society, from science to industry.
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.
Machine Learning for Multimodal Interaction: Third International Workshop, MLMI 2006, Bethesda, MD, USA, May 1-4, 2006, Revised

Machine Learning for Multimodal Interaction: Third International Workshop, MLMI 2006, Bethesda, MD, USA, May 1-4, 2006, Revised Selected Papers
English | February 13, 2007 | ISBN: 3540692673 | 481 Pages | PDF | 7 MB

This book constitutes the thoroughly refereed post-proceedings of the Third International Workshop on Machine Learning for Multimodal Interaction, MLMI 2006, held in Bethesda, MD, USA, in May 2006.