An Introduction to Statistical Learning

Machine Learning and Data Science: An Introduction to Statistical Learning Methods with R

Machine Learning and Data Science: An Introduction to Statistical Learning Methods with R by Daniel D. Gutierrez
English | 18 Sept. 2015 | ISBN: 1634620968 | 282 Pages | True AZW3 (Kindle)/(EPUB/PDF conv) | 15.44 MB

A practitioner's tools have a direct impact on the success of his or her work. This book will provide the data scientist with the tools and techniques required to excel with statistical learning methods in the areas of data access, data munging, exploratory data analysis, supervised machine learning, unsupervised machine learning and model evaluation.
An Introduction to Statistical Learning: with Applications in R (Repost)

An Introduction to Statistical Learning: with Applications in R By Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani
2014 | 426 Pages | ISBN: 1461471370 | PDF | 11 MB
An Introduction to Statistical Learning: with Applications in R (Repost)

An Introduction to Statistical Learning: with Applications in R By Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani
2014 | 426 Pages | ISBN: 1461471370 | PDF | 11 MB
An Introduction to Statistical Learning: with Applications in R

An Introduction to Statistical Learning: with Applications in R By Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani
2014 | 426 Pages | ISBN: 1461471370 | PDF | 11 MB

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.

An Introduction to Statistical Inference and Its Applications with R (repost)  eBooks & eLearning

Posted by fdts at Sept. 17, 2016
An Introduction to Statistical Inference and Its Applications with R (repost)

An Introduction to Statistical Inference and Its Applications with R
by Michael W. Trosset
English | 2009 | ISBN: 1584889470 | 496 pages | PDF | 2.25 MB

An Introduction to Statistical Concepts, Third Edition (repost)  eBooks & eLearning

Posted by libr at Sept. 13, 2016
An Introduction to Statistical Concepts, Third Edition (repost)

An Introduction to Statistical Concepts, Third Edition by Debbie L. Hahs-Vaughn and Richard G. Lomax
English | 2012 | ISBN: 041588005X | 840 pages | PDF | 34,4 MB

An Introduction to Computational Learning Theory  eBooks & eLearning

Posted by step778 at Aug. 12, 2016
An Introduction to Computational Learning Theory

Michael J. Kearns, Umesh Vazirani, "An Introduction to Computational Learning Theory"
1994 | pages: 215 | ISBN: 0262111934 | DJVU | 3,3 mb

An Introduction To Deep Learning & Computer Vision  eBooks & eLearning

Posted by naag at March 11, 2016
An Introduction To Deep Learning & Computer Vision

An Introduction To Deep Learning & Computer Vision
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1.5 Hours | 433 MB
Genre: eLearning | Language: English

This course will get you started on two of the hottest topics in Machine Learning

An Introduction to Statistical Concepts, Third Edition  eBooks & eLearning

Posted by interes at Feb. 25, 2016
An Introduction to Statistical Concepts, Third Edition

An Introduction to Statistical Concepts, Third Edition by Debbie L. Hahs-Vaughn and Richard G. Lomax
English | 2012 | ISBN: 041588005X | 840 pages | PDF | 34,4 MB