Applied Smoothing Techniques For Data Analysis

Applied Smoothing Techniques for Data Analysis: The Kernel Approach with S-Plus Illustrations (repost)

Applied Smoothing Techniques for Data Analysis: The Kernel Approach with S-Plus Illustrations
Oxford University Press, USA | 1997-11-13 | ISBN: 0198523963 | 208 pages | Djvu | 2,1 MB
Statistical Techniques for Data Analysis, Second Edition by John K. Taylor, Cheryl Cihon [Repost]

Statistical Techniques for Data Analysis, Second Edition by John K. Taylor, Cheryl Cihon
English | Jan. 14, 2004 | ISBN: 1584883855 | 287 Pages | PDF | 1 MB

Since the first edition of this book appeared, computers have come to the aid of modern experimenters and data analysts, bringing with them data analysis techniques that were once beyond the calculational reach of even professional statisticians.

Statistical Techniques for Data Analysis, Second Edition  eBooks & eLearning

Posted by rainbowl76 at Jan. 11, 2009
Statistical Techniques for Data Analysis, Second Edition

Statistical Techniques for Data Analysis, Second Edition
Chapman & Hall/CRC | 2004-01-14 | ISBN: 1584883855 | 256 pages | PDF | 5MB

Excel for Data Analysis: Basic to Expert Level  eBooks & eLearning

Posted by naag at Jan. 28, 2017
Excel for Data Analysis: Basic to Expert Level

Excel for Data Analysis: Basic to Expert Level
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2 Hours | Lec: | 1.87 GB
Genre: eLearning | Language: English

Learn how to use Excel for data analysis to an expert level and be able to apply this practical skill in any field.

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

Structured Analytic Techniques for Intelligence Analysis (Repost)  eBooks & eLearning

Posted by roxul at Dec. 18, 2016
Structured Analytic Techniques for Intelligence Analysis (Repost)

Richards J. Heuer Jr., Randolph H. Pherson, "Structured Analytic Techniques for Intelligence Analysis"
2010 | ISBN: 1608710181 | English | 368 pages | EPUB + MOBI | 6 MB

New Trends in Sample Preparation Techniques for Food Analysis  eBooks & eLearning

Posted by roxul at Dec. 9, 2016
New Trends in Sample Preparation Techniques for Food Analysis

Paolo Lucci and Oscar Núñez, "New Trends in Sample Preparation Techniques for Food Analysis"
English | ISBN: 1634850726 | 2016 | 284 pages | PDF | 5 MB

Coursera - Computational Methods for Data Analysis  eBooks & eLearning

Posted by ParRus at Nov. 13, 2016
Coursera - Computational Methods for Data Analysis

Coursera - Computational Methods for Data Analysis
University of Washington with J. Nathan Kutz

WEBRip | English | MP4 | 960 x 540 | AVC ~171 kbps | 30.920 fps
AAC | 128 Kbps | 44.1 KHz | 2 channels | Subs: English (.srt) | 22:11:46 | 3.39 GB
Genre: eLearning Video / Data Analysis

Exploratory and objective data analysis methods applied to the physical, engineering, and biological sciences. Brief review of statistical methods and their computational implementation for studying time series analysis, spectral analysis, filtering methods, principal component analysis, orthogonal mode decomposition, and image processing and compression.

JavaScript and jQuery for Data Analysis and Visualization  eBooks & eLearning

Posted by Underaglassmoon at Oct. 29, 2016
JavaScript and jQuery for Data Analysis and Visualization

JavaScript and jQuery for Data Analysis and Visualization
WROX | JavaScript | Dec 3 2014 | ISBN-10: 1118847067 | 480 pages | pdf | 22.83 mb

by Jon Raasch (Author), Graham Murray (Author), Vadim Ogievetsky (Author), Joseph Lowery (Author)

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