Posted by **FenixN** at Dec. 4, 2016

HDRips | MP4/AVC, ~372 kb/s | 1920х1080 / 1280x720 | Duration: 20:19:39 | English: AAC, 128 kb/s (2 ch) | 9.84 GB

The R programming language has arguably become the single most important tool for computational statistics, visualization, and data science. With this Learning Path, master the basics that you'll need as a data scientist. You'll work your data like never before.

Posted by **interes** at Oct. 22, 2015

English | 2015 | ISBN: 9814678937, 9814689912 | 316 pages | PDF | 3,2 MB

Posted by **arundhati** at July 24, 2015

2011 | ISBN-10: 1439818827 | 490 pages | PDF | 4 MB

Posted by **libr** at Oct. 21, 2014

English | ISBN: 1461440564 | 2012 | PDF | 288 pages | 3 MB

The book presents an introduction to Stochastic Processes including Markov Chains, Birth and Death processes, Brownian motion and Autoregressive models. The emphasis is on simplifying both the underlying mathematics and the conceptual understanding of random processes.

Posted by **interes** at July 15, 2014

English | ISBN: 1461440564 | 2012 | PDF | 288 pages | 3 MB

The book presents an introduction to Stochastic Processes including Markov Chains, Birth and Death processes, Brownian motion and Autoregressive models. The emphasis is on simplifying both the underlying mathematics and the conceptual understanding of random processes.

Posted by **interes** at Jan. 17, 2014

English | 2005-06-30 | ISBN: 186094566X | 427 pages | DJVU | 2.6 mb

This book presents a concise treatment of stochastic calculus and its applications. It gives a simple but rigorous treatment of the subject including a range of advanced topics, it is useful for practitioners who use advanced theoretical results. It covers advanced applications, such as models in mathematical finance, biology and engineering.

Posted by **nebulae** at Oct. 4, 2013

English | ISBN: 1461440564 | 2012 | PDF | 288 pages | 3 MB

Posted by **serpmolot** at Dec. 2, 2014

English | November 2014 | mp4 | H264 1920x1080 | AAC 1 ch 125 kbps | 4 hrs 26 min | 3.17 GB

Posted by **roxul** at Sept. 5, 2014

English | ISBN: 1420088262 | 2010 | 331 pages | PDF | 13 MB

Posted by **FenixN** at Nov. 28, 2016

HDRips | MP4/AVC, ~1200 kb/s | 1280x720 | Duration: 02:43:22 | English: AAC, 128 kb/s (2 ch) | 1.43 GB

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.