Linear Algebra and Probability for Computer Science Applications
1st Edition
Published on 2. May 2012
431 pages
978-1-4665-0159-1 (ISBN)
Description
Based on the author's course at NYU, Linear Algebra and Probability for Computer Science Applications gives an introduction to two mathematical fields that are fundamental in many areas of computer science. The course and the text are addressed to students with a very weak mathematical background. Most of the chapters discuss relevant MATLAB functi
More details
Edition
1. Auflage
Language
English
Place of publication
Florida
United States
Publishing group
Taylor & Francis Inc
Target group
College/higher education
Graduate students in computer science and mathematics.
File size
4,66 MB
ISBN-13
978-1-4665-0159-1 (9781466501591)
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Schweitzer Classification
Other editions
Additional editions
Book
10/2024
1st Edition
Taylor & Francis
€80.50
Shipment within 10-20 days
Book
05/2012
1st Edition
A K Peters
€128.50
Shipment within 15-20 days
Person
Ernest Davis is a computer science professor in the Courant Institute of Mathematical Sciences at New York University. He earned a Ph.D. in computer science from Yale University. Dr. Davis is a member of the American Association of Artificial Intelligence and is a reviewer for many journals. His research primarily focuses on spatial and physical reasoning.
Content
MATLAB. LINEAR ALGEBRA: Vectors. Matrices. Vector Spaces. Algorithms. Geometry. Change of Basis, DFT, and SVD. PROBABILITY: Probability. Numerical Random Variables. Markov Models. Confidence Intervals. Monte Carlo Methods. Information and Entropy. Maximum Likelihood Estimation. References. Notation. Index.
