Statistical Computing. An Introduction to Data Analysis Using S Plus

Learning Path: Haskell for Data Analysis  eBooks & eLearning

Posted by FenixN at Jan. 18, 2017
Learning Path: Haskell for Data Analysis

Learning Path: Haskell for Data Analysis
HDRips | MP4/AVC, ~468 kb/s | 1280x720 | Duration: 11:33:12 | English: AAC, 128 kb/s (2 ch) | 2.14 GB
Genre: Development / Programming

Learn to perform efficient data analysis using Haskell

Mathematics Ebook Collection  eBooks & eLearning

Posted by free4magazines at Jan. 7, 2017
Mathematics Ebook Collection

Mathematics Ebook Collection
615 PDF Books | English | 4.62 GB

This collection covers all fields of mathematics, a must-have for the aspiring maths students and scholars alike.

Introduction to R Programming  eBooks & eLearning

Posted by FenixN at Jan. 9, 2017
Introduction to R Programming

Introduction to R Programming
HDRips | MP4/AVC, ~461 kb/s | 1280x720 | Duration: 03:46:46 | English: AAC, 128 kb/s (2 ch) | 922 MB
Genre: Development / Programming

Practice and apply R programming concepts for effective statistical and data analysis

Coursera - Introduction to Computational Finance and Financial Econometrics  eBooks & eLearning

Posted by ParRus at June 14, 2019
Coursera - Introduction to Computational Finance and Financial Econometrics

Coursera - Introduction to Computational Finance and Financial Econometrics
WEBRip | English | MP4 + Project files | 960 x 540 | AVC ~154 kbps | 30.919 fps
AAC | 128 Kbps | 44.1 KHz | 2 channels | Subs: English (.srt) | 25:23:27 | 3.86 GB
Genre: eLearning Video / Finance, Analysis, Mathematics, Statistics

Learn mathematical, programming and statistical tools used in the real world analysis and modeling of financial data. Apply these tools to model asset returns, measure risk, and construct optimized portfolios using the open source R programming language and Microsoft Excel.
Applied Smoothing Techniques for Data Analysis: The Kernel Approach with S-Plus Illustrations

Applied Smoothing Techniques for Data Analysis: The Kernel Approach with S-Plus Illustrations By Adrian W Bowman, Adelchi Azzalini
1997 | 205 Pages | ISBN: 0198523963 | DJVU | 3 MB

Pack Language (Langage) R  eBooks & eLearning

Posted by TimMa at June 1, 2019
Pack Language (Langage) R

Pack Language (Langage) R
English/Français | EPUB/MOBI/PDF | 101 books | 1.8 GB

R is a programming language and free software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing. The R language is widely used among statisticians and data miners for developing statistical software and data analysis. Polls, data mining surveys, and studies of scholarly literature databases show substantial increases in popularity in recent years as of May 2019, R ranks 21st in the TIOBE index, a measure of popularity of programming languages. …

The Full Stack Data Scientist Bootcamp® (Update)  eBooks & eLearning

Posted by ELK1nG at July 12, 2022
The Full Stack Data Scientist Bootcamp® (Update)

The Full Stack Data Scientist Bootcamp®
Last updated 7/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 67.69 GB | Duration: 123h 1m

Full Stats, Python, SQL| Machine Learning & Cloud| Deep Learning| A.I | Computer Vision & NLP | Virtual Internship

Cambridge University Press - eBook Collection (Repost)  eBooks & eLearning

Posted by igor_lv at July 13, 2018
Cambridge University Press  - eBook Collection  (Repost)

Cambridge University Press - eBook Collection
English | 1945-2015 | 1190 books | PDF | 4.6 GB
Large collection

An R Companion to Applied Regression  eBooks & eLearning

Posted by arundhati at Sept. 2, 2017
An R Companion to Applied Regression

John Fox, Harvey Sanford Weisberg, "An R Companion to Applied Regression"
2011 | ISBN-10: 141297514X | 472 pages | PDF | 23 MB

An R Companion to Applied Regression, 2nd Edition  eBooks & eLearning

Posted by First1 at Dec. 9, 2017
An R Companion to Applied Regression, 2nd Edition

An R Companion to Applied Regression, 2nd Edition by John Fox,‎ Harvey Sanford Weisberg
English | November 29th, 2010 (2011 Edition) | ASIN: B008P5BJIO, ISBN: 141297514X | 344 Pages | EPUB | 12.49 MB

This is a broad introduction to the R statistical computing environment in the context of applied regression analysis. It is a thoroughly updated edition of John Fox’s bestselling text An R and S-Plus Companion to Applied Regression (SAGE, 2002). The Second Edition is intended as a companion to any course on modern applied regression analysis.