Posted by **AlenMiler** at Dec. 10, 2017

English | 1 Dec. 2017 | ISBN: 1973443503 | ASIN: B077WFS87Z | 246 Pages | AZW3 | 2.24 MB

Posted by **step778** at Dec. 8, 2017

2008 | pages: 229 | ISBN: 0387773169 | PDF | 1,4 mb

Posted by **naag** at Dec. 7, 2017

MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 4 Hours | 1.94 GB

Posted by **ChrisRedfield** at Nov. 28, 2017

Published: 2010-11-24 | ISBN: 144197864X, 1461427592 | PDF | 596 pages | 8.4 MB

Posted by **AvaxGenius** at Nov. 25, 2017

English | PDF,EPUB | 2017 | 224 Pages | ISBN : 9811068070 | 7.02 MB

This book helps readers understand the mathematics of machine learning, and apply them in different situations. It is divided into two basic parts, the first of which introduces readers to the theory of linear algebra, probability, and data distributions and it’s applications to machine learning. It also includes a detailed introduction to the concepts and constraints of machine learning and what is involved in designing a learning algorithm. This part helps readers understand the mathematical and statistical aspects of machine learning.

Posted by **hill0** at Nov. 23, 2017

English | 29 Oct. 2013 | ISBN: 1461486866 | 312 Pages | EPUB | 5.34 MB

This Bayesian modeling book provides a self-contained entry to computational Bayesian statistics. Focusing on the most standard statistical models and backed up by real datasets and an all-inclusive R (CRAN) package called bayess,

Posted by **AvaxGenius** at Nov. 23, 2017

English | PDF,EPUB | 2017 | 183 Pages | ISBN : 3319692178 | 2.98 MB

The goal of this guide and manual is to provide a practical and brief overview of the theory on computerized adaptive testing (CAT) and multistage testing (MST) and to illustrate the methodologies and applications using R open source language and several data examples. Implementation relies on the R packages catR and mstR that have been already or are being developed by the first author (with the team) and that include some of the newest research algorithms on the topic.

Posted by **insetes** at Nov. 21, 2017

2015 | 264 Pages | ISBN: 3319214152 | PDF | 4 MB

Posted by **ChrisRedfield** at Nov. 21, 2017

Published: 2013-10-29 | ISBN: 1461486866, 1493950495 | PDF | 296 pages | 7.42 MB

Posted by **hill0** at Nov. 20, 2017

English | 26 Dec. 2017 | ISBN: 3319645706 | 351 Pages | EPUB | 3.69 MB

This textbook examines empirical linguistics from a theoretical linguist’s perspective. It provides both a theoretical discussion of what quantitative corpus linguistics entails and detailed, hands-on, step-by-step instructions to implement the techniques in the field.