Linear Algebra and Probability for Computer Science Applications
Author:   Ernest Davis
Publisher:   Taylor & Francis Ltd
ISBN:  

9781032920030


Pages:   432
Publication Date:   14 October 2024
Format:   Paperback
Availability:   In Print   Availability explained
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Linear Algebra and Probability for Computer Science Applications


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Author:   Ernest Davis
Publisher:   Taylor & Francis Ltd
Imprint:   Taylor & Francis Ltd
Weight:   0.800kg
ISBN:  

9781032920030


ISBN 10:   1032920033
Pages:   432
Publication Date:   14 October 2024
Audience:   College/higher education ,  Tertiary & Higher Education
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

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.

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Author Information

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.

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