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Linear algebra and probability for computer science applications

Author: Ernest Davis
Publisher: Boca Raton, FL : CRC Press, ©2012.
Edition/Format:   Print book : EnglishView all editions and formats
Database:WorldCat
Summary:
"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,  Read more...
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Details

Document Type: Book
All Authors / Contributors: Ernest Davis
ISBN: 9781466501553 1466501553
OCLC Number: 748331587
Description: xviii, 413 pages : illustrations ; 25 cm
Contents: MATLAB --
Vectors --
Matrices --
Vector spaces --
Algorithms --
Geometry --
Change of basis, DFT, and SVD --
Probability --
Numerical random variables --
Markov models --
Confidence intervals --
Monte Carlo methods --
Information and entropy --
Maximum likelihood estimation.
Responsibility: Ernest Davis.

Abstract:

"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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