Mathematics With R
Introduction to Mathematics for Economics with R eBooks & eLearning
Posted by hill0 at Sept. 5, 2022
Introduction to Mathematics for Economics with R
English | 2022 | ISBN: 3031052013 | 882 Pages | PDF EPUB (True) | 51 MB
English | 2022 | ISBN: 3031052013 | 882 Pages | PDF EPUB (True) | 51 MB
Python & Data Science With R | Python & R Programming eBooks & eLearning
Posted by ELK1nG at May 15, 2023
Python & Data Science With R | Python & R Programming
Published 5/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 9.26 GB | Duration: 32h 3m
Published 5/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 9.26 GB | Duration: 32h 3m
R Programming Language & Python Programming for Data Science & Data Analytics all in one from scratch with real projects
Introduction to Stochastic Processes with R (repost) eBooks & eLearning
Posted by arundhati at April 4, 2019
Robert P. Dobrow, "Introduction to Stochastic Processes with R"
2016 | ISBN: 1118740653 | English | 504 pages | PDF | 10 MB
2016 | ISBN: 1118740653 | English | 504 pages | PDF | 10 MB
Foundations of Statistics for Data Scientists: With R and Python eBooks & eLearning
Posted by yoyoloit at Jan. 20, 2022
Foundations of Statistics for Data Scientists
by Alan Agresti;Maria Kateri;
English | 2021 | ISBN: 0367748452 | 486 pages | True PDF | 15.63 MB
by Alan Agresti;Maria Kateri;
English | 2021 | ISBN: 0367748452 | 486 pages | True PDF | 15.63 MB
Coursera - Statistical Analysis with R for Public Health Specialization by Imperial College London eBooks & eLearning
Posted by kabino at Sept. 22, 2020
Coursera - Statistical Analysis with R for Public Health Specialization by Imperial College London
Video: .mp4 (1280x720) | Audio: AAC, 44100 kHz, 2ch | Size: 1.34 Gb
Genre: eLearning Video | Duration: 4h 29m | Language: English
Video: .mp4 (1280x720) | Audio: AAC, 44100 kHz, 2ch | Size: 1.34 Gb
Genre: eLearning Video | Duration: 4h 29m | Language: English
Master Statistics for Public Health and Learn R. Develop your statistical thinking skills and learn key data analysis methods through R.
Statistics and Data Analysis for Financial Engineering: with R examples eBooks & eLearning
Posted by Underaglassmoon at May 11, 2015
Statistics and Data Analysis for Financial Engineering: with R examples
Springer | Mathematics | April 22 2015 | ISBN-10: 1493926136 | 719 pages | pdf | 13.19 mb
Springer | Mathematics | April 22 2015 | ISBN-10: 1493926136 | 719 pages | pdf | 13.19 mb
by David Ruppert (Author), David S. Matteson (Author)
Introduction to Financial Mathematics: With Computer Applications (Textbooks in Mathematics) eBooks & eLearning
Posted by yoyoloit at Aug. 3, 2021
Introduction to Financial Mathematics: With Computer Applications
by Chambers, Donald R.; Lu, Qin;
English | 2021 | ISBN: 0367410397 | 580 pages | True EPUB | 5.09 MB
by Chambers, Donald R.; Lu, Qin;
English | 2021 | ISBN: 0367410397 | 580 pages | True EPUB | 5.09 MB
Bayesian Computation with R (Repost) eBooks & eLearning
Posted by insetes at Jan. 28, 2020
Bayesian Computation with R By Jim Albert (auth.)
2009 | 300 Pages | ISBN: 0387922970 | PDF | 2 MB
2009 | 300 Pages | ISBN: 0387922970 | PDF | 2 MB
Quantitative Trading with R: Understanding Mathematical and Computational Tools from a Quant's Perspective [Repost] eBooks & eLearning
Posted by ChrisRedfield at Nov. 11, 2015
![Quantitative Trading with R: Understanding Mathematical and Computational Tools from a Quant's Perspective [Repost]](https://pixhost.icu/avaxhome/50/42/00394250_medium.jpeg)
Harry Georgakopoulos - Quantitative Trading with R: Understanding Mathematical and Computational Tools from a Quant's Perspective
Published: 2015-01-06 | ISBN: 1137354070 | PDF | 292 pages | 17.9 MB
Introduction to Unconstrained Optimization with R eBooks & eLearning
Posted by roxul at Dec. 18, 2019
Shashi Kant Mishra, "Introduction to Unconstrained Optimization with R"
English | ISBN: 9811508933 | 2019 | 302 pages | EPUB, PDF | 33 MB + 5 MB
English | ISBN: 9811508933 | 2019 | 302 pages | EPUB, PDF | 33 MB + 5 MB