๐”– Scriptorium
โœฆ   LIBER   โœฆ
๐Ÿ“

Probability and Statistics for Computer Science

โœ Scribed by David Forsyth

Publisher
Springer
Year
2017
Tongue
English
Leaves
374
Edition
1st ed. 2018
Category
Library
โฌ‡  Acquire This Volume

No coin nor oath required. For personal study only.

โœฆ Subjects

Computer Simulation;Computer Science;Computers & Technology;Mathematical & Statistical;Software;Computers & Technology

๐Ÿ“œ SIMILAR VOLUMES

Probability and Statistics for Computer
๐Ÿ“ Probability and Statistics for Computer Science
โœ James L. Johnson ๐Ÿ“‚ Library ๐Ÿ“… 2008 ๐Ÿ› Wiley-Interscience ๐ŸŒ English

<p>While many computer science curricula include only an introductory course on general probability, there is a recognized need for further study of this mathematical discipline within the specific context of computer science. Probability and Statistics for Computer Science develops introductory top

Probability and Statistics for Computer
๐Ÿ“ Probability and Statistics for Computer Science
โœ James L. Johnson ๐Ÿ“‚ Library ๐Ÿ“… 2008 ๐Ÿ› Wiley-Interscience ๐ŸŒ English

Comprehensive and thorough development of both probability and statistics for serious computer scientists; goal-oriented: "to present the mathematical analysis underlying probability results"Special emphases on simulation and discrete decision theoryMathematically-rich, but self-contained text, at a

Probability and Statistics for Computer
๐Ÿ“ Probability and Statistics for Computer Science
โœ David Forsyth (auth.) ๐Ÿ“‚ Library ๐Ÿ“… 2018 ๐Ÿ› Springer International Publishing ๐ŸŒ English

<p><p>This textbook is aimed at computer science undergraduates late in sophomore or early in junior year, supplying a comprehensive background in qualitative and quantitative data analysis, probability, random variables, and statistical methods, including machine learning.</p><p>With careful treatm

Probability and Statistics for Computer
๐Ÿ“ Probability and Statistics for Computer Science
โœ David Forsyth ๐Ÿ“‚ Library ๐Ÿ“… 2017 ๐Ÿ› Springer ๐ŸŒ English

This textbook is aimed at computer science undergraduates late in sophomore or early in junior year, supplying a comprehensive background in qualitative and quantitative data analysis, probability, random variables, and statistical methods, including machine learning. With careful treatment of topic