Advanced Statistics With Worked Examples

Statistics with Python, Part 2  eBooks & eLearning

Posted by IrGens at Feb. 1, 2018
Statistics with Python, Part 2

Statistics with Python, Part 2
.MP4, AVC, 434 kbps, 1920x1080 | English, AAC, 235 kbps, 2 Ch | 1 hr 4 mins | 311 MB
Instructor: Eric Greene

Statistics with Python, Part 1  eBooks & eLearning

Posted by IrGens at Jan. 31, 2018
Statistics with Python, Part 1

Statistics with Python, Part 1
.MP4, AVC, 400 kbps, 1920x1080 | English, AAC, 235 kbps, 2 Ch | 66 mins | 316 MB
Instructor: Eric Greene

Six Sigma Statistics with EXCEL and MINITAB (Repost)  eBooks & eLearning

Posted by step778 at Jan. 23, 2018
Six Sigma Statistics with EXCEL and MINITAB (Repost)

Issa Bass, "Six Sigma Statistics with EXCEL and MINITAB"
2007 | pages: 386 | ISBN: 007148969X | PDF | 8,1 mb

Advanced Analytics with R and Tableau  eBooks & eLearning

Posted by naag at Dec. 28, 2017
Advanced Analytics with R and Tableau

Advanced Analytics with R and Tableau
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1.5 Hours | 375 MB
Genre: eLearning | Language: English

Tableau and R offer accessible analytics by allowing a combination of easy-to-use data visualization along with industry-standard, robust statistical computation.

Advanced Statistics for Machine Learning  eBooks & eLearning

Posted by naag at Dec. 28, 2017
Advanced Statistics for Machine Learning

Advanced Statistics for Machine Learning
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2 Hours 10M | 422 MB
Genre: eLearning | Language: English

Complex statistics in Machine Learning worry a lot of developers. Knowing statistics helps you build strong Machine Learning models that are optimized for a given problem statement.

Digital Signal Processing with Matlab Examples, Volume 1 (Repost)  eBooks & eLearning

Posted by AvaxGenius at Dec. 27, 2017
Digital Signal Processing with Matlab Examples, Volume 1 (Repost)

Digital Signal Processing with Matlab Examples, Volume 1: Signals and Data, Filtering, Non-stationary Signals, Modulation By Jose Maria Giron-Sierra
English | EPUB | 2017 | 622 Pages | ISBN : 9811025339 | 15.87 MB

This is the first volume in a trilogy on modern Signal Processing. The three books provide a concise exposition of signal processing topics, and a guide to support individual practical exploration based on MATLAB programs.
This book includes MATLAB codes to illustrate each of the main steps of the theory, offering a self-contained guide suitable for independent study. The code is embedded in the text, helping readers to put into practice the ideas and methods discussed.

Worked Examples in Quantitative Metallography  eBooks & eLearning

Posted by tanas.olesya at Dec. 19, 2017
Worked Examples in Quantitative Metallography

Worked Examples in Quantitative Metallography by Rebecca Higginson
English | 1 Sept. 2003 | ISBN: 1902653807 | 124 Pages | PDF | 6 MB

In physical metallurgy it is frequently necessary to obtain quantitative measurements of microstructural features to compare experimental observations with theoretical; predictions.

Advanced Calculus with Applications in Statistics (2nd edition) (repost)  eBooks & eLearning

Posted by arundhati at Dec. 18, 2017
Advanced Calculus with Applications in Statistics (2nd edition) (repost)

André I. Khuri, "Advanced Calculus with Applications in Statistics (2nd edition)"
2003 | ISBN-10: 0471391042, 047012069X | 704 pages | PDF | 8 MB
A Comprehensive Guide to the UMAT: Including over 50 example and practice questions with worked answers!

A Comprehensive Guide to the UMAT: Including over 50 example and practice questions with worked answers! by Joshua Taylor
English | 19 May 2016 | ASIN: B01FWUEPZ8 | 84 Pages | PDF | 2.25 MB
Corpus Linguistics and Statistics with R: Introduction to Quantitative Methods in Linguistics

Corpus Linguistics and Statistics with R: Introduction to Quantitative Methods in Linguistics (Quantitative Methods in the Humanities and Social Sciences) by Guillaume Desagulier
English | 26 Dec. 2017 | ISBN: 3319645706 | 351 Pages | EPUB | 3.69 MB

This textbook examines empirical linguistics from a theoretical linguist’s perspective. It provides both a theoretical discussion of what quantitative corpus linguistics entails and detailed, hands-on, step-by-step instructions to implement the techniques in the field.