Linear algebra and probability for computer science applications - Info and Reading Options
By Ernest Davis
"Linear algebra and probability for computer science applications" was published by CRC Press in 2012 - Boca Raton and the language of the book is English.
“Linear algebra and probability for computer science applications” Metadata:
- Title: ➤ Linear algebra and probability for computer science applications
- Author: Ernest Davis
- Language: English
- Publisher: CRC Press
- Publish Date: 2012
- Publish Location: Boca Raton
“Linear algebra and probability for computer science applications” Subjects and Themes:
- Subjects: ➤ MATHEMATICS / General - Computer science - Mathematics - Probabilities - Linear Algebras - MATHEMATICS / Applied - MATHEMATICS / Probability & Statistics / Bayesian Analysis - Computer science, mathematics - Algebras, linear - Informatique - Mathématiques - Algèbre linéaire - Probabilités - Probability - COMPUTERS / Computer Literacy - COMPUTERS / Computer Science - COMPUTERS / Data Processing - COMPUTERS / Hardware / General - COMPUTERS / Information Technology - COMPUTERS / Machine Theory - COMPUTERS / Reference
Edition Specifications:
- Pagination: p. cm.
Edition Identifiers:
- The Open Library ID: OL25162376M - OL16451185W
- Online Computer Library Center (OCLC) ID: 958799177
- Library of Congress Control Number (LCCN): 2011047969
- ISBN-13: 9781466501553
- All ISBNs: 9781466501553
AI-generated Review of “Linear algebra and probability for computer science applications”:
"Linear algebra and probability for computer science applications" Description:
The Open Library:
"Taking a computer scientist's point of view, this classroom-tested text gives an introduction to linear algebra and probability theory, including some basic aspects of statistics. It discusses examples of applications from a wide range of areas of computer science, including computer graphics, computer vision, robotics, natural language processing, web search, machine learning, statistical analysis, game playing, graph theory, scientific computing, decision theory, coding, cryptography, network analysis, data compression, and signal processing. It includes an extensive discussion of MATLAB, and includes numerous MATLAB exercises and programming assignments"--
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