Machine Learning For Computational Finance

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.
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.
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.
Machine Learning for Multimodal Interaction: Second International Workshop, MLMI 2005, Edinburgh, UK, July 11-13, 2005, Revised

Machine Learning for Multimodal Interaction: Second International Workshop, MLMI 2005, Edinburgh, UK, July 11-13, 2005, Revised Selected Papers
English | June 2, 2010 | ISBN: 3540325492 | 501 Pages | PDF | 10 MB

This book constitutes the thoroughly refereed post-proceedings of the Second International Workshop on Machine Learning for Multimodal Interaction held in July 2005. The 38 revised full papers presented together with two invited papers were carefully selected during two rounds of reviewing and revision.
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.

Tools for Computational Finance  eBooks & eLearning

Posted by ChrisRedfield at Oct. 25, 2016
Tools for Computational Finance

Rudiger Seydel - Tools for Computational Finance
Published: 2002-08-05 | ISBN: 354043609X | PDF | 224 pages | 6.7 MB

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.