Intelligent Techniques For Data Science

Intelligent Techniques for Data Science [repost]  eBooks & eLearning

Posted by naag at April 2, 2017
Intelligent Techniques for Data Science [repost]

Intelligent Techniques for Data Science by Rajendra Akerkar, Priti Srinivas Sajja
English | ISBN: 3319292056 | 2016 | PDF | 272 pages | 7.08 MB

Intelligent Techniques for Data Science  eBooks & eLearning

Posted by Rare-1 at Oct. 25, 2016
Intelligent Techniques for Data Science

Intelligent Techniques for Data Science by Rajendra Akerkar, Priti Srinivas Sajja
English | ISBN: 3319292056 | 2016 | PDF | 272 pages | 7.08 MB

Intelligent Techniques for Data Science  eBooks & eLearning

Posted by Underaglassmoon at Oct. 19, 2016
Intelligent Techniques for Data Science

Intelligent Techniques for Data Science
Springer | Computer Science | Oct. 12 2016 | ISBN-10: 3319292056 | 272 pages | pdf | 7.08 mb

Authors: Akerkar, Rajendra, Sajja, Priti Srinivas
Focuses on methods significantly beneficial in data science, and clearly describes them at an introductory level, with extensions to selected intermediate and advanced techniques
Reinforces the machine learning principles with necessary demonstrations in the field of data science
Integrates illustrations, cases and examples to support pedagogical exposition
Equips readers with the necessary information to obtain hands‐on experience of data science

Lynda - SQL Tips and Tricks for Data Science  eBooks & eLearning

Posted by U.N.Owen at Nov. 29, 2016
Lynda - SQL Tips and Tricks for Data Science

Lynda - SQL Tips and Tricks for Data Science
Size: 118 MB | Duration: 0h 59m | Video: AVC (.mp4) 1280x720 30fps | Audio: AAC 48KHz 2ch
Genre: eLearning | Level: Intermediate | Language: English

Get Ben Sullins's 12 must-have SQL techniques for data science pros—engineers, DevOps, data miners, programmers, and other systems specialists.
Advanced Object-Oriented Programming in R: Statistical Programming for Data Science, Analysis and Finance

Thomas Mailund, "Advanced Object-Oriented Programming in R: Statistical Programming for Data Science, Analysis and Finance"
English | ISBN: 1484229185 | 2017 | 110 pages | PDF | 1 MB
Self Learning of Data Science for Free(Revised): Skill Development for Data Science Jobs

Self Learning of Data Science for Free(Revised): Skill Development for Data Science Jobs
English | 2017 | ISBN-10: 153015071X | 102 pages | PDF + EPUB+ AZW3 (conv) | 1.20 Mb
Metaprogramming in R: Advanced Statistical Programming for Data Science, Analysis and Finance

Metaprogramming in R: Advanced Statistical Programming for Data Science, Analysis and Finance By Thomas Mailund
English | PDF | 2017 | 106 Pages | ISBN : 1484228804 | 850 KB

Learn how to manipulate functions and expressions to modify how the R language interprets itself. This book is an introduction to metaprogramming in the R language, so you will write programs to manipulate other programs. Metaprogramming in R shows you how to treat code as data that you can generate, analyze, or modify.

E-Learning Systems: Intelligent Techniques for Personalization  eBooks & eLearning

Posted by ksveta6 at May 26, 2017
E-Learning Systems: Intelligent Techniques for Personalization

E-Learning Systems: Intelligent Techniques for Personalization (Intelligent Systems Reference Library) by Aleksandra Klašnja-Milićević, Boban Vesin, Mirjana Ivanović, Zoran Budimac, Lakhmi C. Jain
2016 | ISBN: 3319411616 | English | 294 pages | EPUB | 6 MB

R for Data Science Cookbook  eBooks & eLearning

Posted by readerXXI at May 18, 2017
R for Data Science Cookbook

R for Data Science Cookbook
by Yu-Wei, Chiu (David Chiu)
English | 2016 | ISBN: 178439081X | 452 Pages | True PDF | 6 MB

This cookbook offers a range of data analysis samples in simple and straightforward R code, providing step-by-step resources and time-saving methods to help you solve data problems efficiently.

Simulation for Data Science with R  eBooks & eLearning

Posted by readerXXI at May 18, 2017
Simulation for Data Science with R

Simulation for Data Science with R
by Matthias Templ
English | 2016 | ISBN: 1785881167 | 398 Pages | True PDF | 6 MB

Harness actionable insights from your data with computational statistics and simulations using R.