Programming And Statistics

The R Software: Fundamentals of Programming and Statistical Analysis (Statistics and Computing) [repost]

The R Software: Fundamentals of Programming and Statistical Analysis (Statistics and Computing) by Pierre Lafaye de Micheaux
English | 16 Apr. 2014 | ISBN: 1461490197 | 628 Pages | PDF | 6.64 MB

The contents of The R Software are presented so as to be both comprehensive and easy for the reader to use. Besides its application as a self-learning text, this book can support lectures on R at any level from beginner to advanced. This book can serve as a textbook on R for beginners as well as more advanced users, working on Windows, MacOs or Linux OSes.

Mastering Probability and Statistics in Python  eBooks & eLearning

Posted by IrGens at Oct. 21, 2020
Mastering Probability and Statistics in Python

Mastering Probability and Statistics in Python
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 12h 23m | 3.59 GB
Created by AI Sciences Team
A Python Data Analyst’s Toolkit: Learn Python and Python-based Libraries with Applications in Data Analysis and Statistics

A Python Data Analyst’s Toolkit: Learn Python and Python-based Libraries with Applications in Data Analysis and Statistics by Gayathri Rajagopalan
English | December 23, 2020 | ISBN: 1484263987 | 420 pages | MOBI | 8.97 Mb
Stochastic Dynamic Programming and the Control of Queueing Systems (Wiley Series in Probability and Statistics)

Stochastic Dynamic Programming and the Control of Queueing Systems (Wiley Series in Probability and Statistics) by Linn I. Sennott
English | September 30, 1998 | ISBN: 0471161209 | 354 pages | PDF | 17 Mb
An Introduction to Data Analysis in R: Hands-on Coding, Data Mining, Visualization and Statistics from Scratch

Alfonso Zamora Saiz, "An Introduction to Data Analysis in R: Hands-on Coding, Data Mining, Visualization and Statistics from Scratch "
English | ISBN: 3030489965 | 2020 | 291 pages | EPUB, PDF | 35 MB + 8 MB

Introduction To Time Series Analysis And Forecasting In R  eBooks & eLearning

Posted by Sigha at March 25, 2023
Introduction To Time Series Analysis And Forecasting In R

Introduction To Time Series Analysis And Forecasting In R
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.99 GB | Duration: 8h 33m

Work with time series and all sorts of time related data in R - Forecasting, Time Series Analysis, Predictive Analytics

Complete Linear Algebra: Theory And Implementation In Code  eBooks & eLearning

Posted by Sigha at Sept. 15, 2024
Complete Linear Algebra: Theory And Implementation In Code

Complete Linear Algebra: Theory And Implementation In Code
Last updated 8/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English (US) | Size: 5.80 GB | Duration: 33h 45m

Learn concepts in linear algebra and matrix analysis, and implement them in MATLAB and Python.

Mathematics and Statistics Hacks For MySQL  eBooks & eLearning

Posted by arundhati at April 26, 2021
Mathematics and Statistics Hacks For MySQL

Jeremy Lane, "Mathematics and Statistics Hacks For MySQL"
English | ISBN: 1540526798 | 2016 | 88 pages | AZW3 | 264 KB

Deep Learning Foundation : Linear Regression and Statistics (Updated)  eBooks & eLearning

Posted by Sigha at July 28, 2020
Deep Learning Foundation : Linear Regression and Statistics (Updated)

Deep Learning Foundation : Linear Regression and Statistics
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 4.15 GB
Genre: eLearning Video | Duration: 39 lectures (5 hour, 37 mins) | Language: English

Data science : Learn statistics behind linear regression and build your own working program from scratch in Python.

Complete Linear Algebra: Theory And Implementation In Code  eBooks & eLearning

Posted by Sigha at Sept. 15, 2024
Complete Linear Algebra: Theory And Implementation In Code

Complete Linear Algebra: Theory And Implementation In Code
Last updated 8/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English (US) | Size: 5.80 GB | Duration: 33h 45m

Learn concepts in linear algebra and matrix analysis, and implement them in MATLAB and Python.