Linear algebra and probability for computer science applications - Info and Reading Options
By Ernest Davis
“Linear algebra and probability for computer science applications” Metadata:
- Title: ➤ Linear algebra and probability for computer science applications
- Author: Ernest Davis
“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 Identifiers:
- The Open Library ID: OL16451185W
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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