Mathematics for machine learning/ Marc Peter Deisenroth, A. Aldo faisal and Cheng Soon Ong
Publication details: New Delhi: CUP, 2021Description: xvii, 371 pagesISBN:- 9781009108850 paper back
- 23 006.31015 D329
| Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|
| Books | ISI Library, Kolkata | 006.31015 D329 (Browse shelf(Opens below)) | Available | 138547 |
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| 006.31 Y49 Data mining: concepts methods and applications in management and engineering design/ | 006.31 Y51 Foundations of quantum programming / | 006.31 Z63 Machine learning applications in software engineering | 006.31015 D329 Mathematics for machine learning/ | 006.3101515 Si593 Mathematical analysis for machine learning and data mining/ | 006.31015195 Ar658 A computational approach to statistical learning/ | 006.3101570 R178 Deep learning for the life sciences: applying deep learning to genomics microscopy drug discovery and more/ |
Includes bibliographical references and index
Part I: Mathematical Foundations --
Introduction and Motivation --
Linear Algebra --
Analytic Geometry --
Matrix Decompositions --
Vector Calculus --
Probability and Distribution --
Continuous Optimization --
Part II: Central Machine Learning Problems --
When Models Meet Data --
Linear Regression --
Dimensionality Reduction with Principal Component Analysis --
Density Estimation with Gaussian Mixture Models --
Classification with Support Vector Machines --
This book focuses on Mathematics for Machine Learning that motivates people to learn mathematical concepts. It is splitted into two parts: Mathematical foundations and Example machine learning algorithms that use the mathematical foundations.
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