Mathematical Statistics For Data Science
Mathematics-Basics to Advanced for Data Science And GenAI eBooks & eLearning
Posted by lucky_aut at Aug. 12, 2024
Mathematics-Basics to Advanced for Data Science And GenAI
Published 8/2024
Duration: 22h56m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 19.8 GB
Genre: eLearning | Language: English
Published 8/2024
Duration: 22h56m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 19.8 GB
Genre: eLearning | Language: English
Build a strong math foundation with linear algebra,stats,probability & differential calculus for mastering data science
Statistics for Data Science eBooks & eLearning
Posted by AlenMiler at July 11, 2018
Statistics for Data Science: Leverage the power of statistics for Data Analysis, Classification, Regression, Machine Learning, and Neural Networks by James D. Miller
English | 17 Nov. 2017 | ISBN: 1788290674 | 286 Pages | EPUB | 2.44 MB
English | 17 Nov. 2017 | ISBN: 1788290674 | 286 Pages | EPUB | 2.44 MB
Statistics for Data Science eBooks & eLearning
Posted by First1 at Sept. 9, 2019
Statistics for Data Science by James D. Miller
English | December 18th, 2017 | ISBN: 1788290674 | 286 pages | EPUB (True/Retail Copy) | 3.80 MB
English | December 18th, 2017 | ISBN: 1788290674 | 286 pages | EPUB (True/Retail Copy) | 3.80 MB
Get your statistics basics right before diving into the world of data science
Statistics for Data Science: Leverage the power of statistics for Data Analysis eBooks & eLearning
Posted by Free butterfly at Nov. 2, 2023
Statistics for Data Science: Leverage the power of statistics for Data Analysis, Classification, Regression, Machine Learning, and Neural Networks by James D. Miller
English | November 17, 2017 | ISBN: 1788290674 | 286 pages | MOBI | 4.60 Mb
English | November 17, 2017 | ISBN: 1788290674 | 286 pages | MOBI | 4.60 Mb
Statistics for Data Science eBooks & eLearning
Posted by readerXXI at July 13, 2018
Statistics for Data Science
by James D. Miller
English | 2017 | ISBN: 1788290674 | 279 Pages | True PDF | 3 MB
by James D. Miller
English | 2017 | ISBN: 1788290674 | 279 Pages | True PDF | 3 MB
Essential Math for Data Science: Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics eBooks & eLearning
Posted by IrGens at June 29, 2022
Essential Math for Data Science: Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics by Thomas Nield
English | May 26, 2022 | ISBN: 1098102932 | True PDF | 347 pages | 11.7 MB
English | May 26, 2022 | ISBN: 1098102932 | True PDF | 347 pages | 11.7 MB
Data Science Statistics for Absolute Beginners eBooks & eLearning
Posted by lucky_aut at Sept. 6, 2022
Data Science Statistics for Absolute Beginners
Duration: 4h 57m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 1.24 GB
Genre: eLearning | Language: English
Duration: 4h 57m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 1.24 GB
Genre: eLearning | Language: English
Beginners approach to technicalities of Statistics for Data Science
Statistics for Data Science eBooks & eLearning
Posted by naag at May 1, 2018
Statistics for Data Science
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2.5 Hours | 613 MB
Genre: eLearning | Language: English
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2.5 Hours | 613 MB
Genre: eLearning | Language: English
Do you wish to be a data scientist but don't know where to begin? Want to implement statistics for data science? Want to get acquainted with R programs? Want to learn about the logic involved in computing statistics? If so, then this is the course for you.
Mathematical Foundations of Data Science eBooks & eLearning
Posted by AvaxGenius at March 17, 2023
Mathematical Foundations of Data Science by Tomas Hrycej , Bernhard Bermeitinger , Matthias Cetto , Siegfried Handschuh
English | PDF | 2023 | 218 Pages | ISBN : 3031190734 | 3.8 MB
This textbook aims to point out the most important principles of data analysis from the mathematical point of view. Specifically, it selected these questions for exploring: Which are the principles necessary to understand the implications of an application, and which are necessary to understand the conditions for the success of methods used? Theory is presented only to the degree necessary to apply it properly, striving for the balance between excessive complexity and oversimplification. Its primary focus is on principles crucial for application success.
Data Science with Python Complete Course eBooks & eLearning
Posted by lucky_aut at Oct. 27, 2021
Data Science with Python Complete Course
Duration: 20h 13m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 8.07 GB
Genre: eLearning | Language: English
Duration: 20h 13m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 8.07 GB
Genre: eLearning | Language: English
Data Science 2021 : Complete Data Science