Mathematics for Machine Learning Marc Peter Deisenroth English
Material type:
TextPublication details: UK Cambridge University 2021Description: v, 371 p. , soft bound 18x25.5 cmISBN: - 978-1-108-45514-5
- 23 006.31 DEI
Contents:
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
Report errata and feedback.
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | |
|---|---|---|---|---|---|---|---|
Books
|
Tetso College Library Mathematics | Non-fiction | 006.31 DEI (Browse shelf(Opens below)) | Available | 13992 |
Browsing Tetso College Library shelves, Shelving location: Mathematics, Collection: Non-fiction Close shelf browser (Hides shelf browser)
| 006.31 DEI Mathematics for Machine Learning | 510 TEK Maths Sutra: The art of vedic speed calculation/ | 512 HER Topics in Algebra:/ | 512.02 FRA A first course in Abstract algebra:/ |
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
Report errata and feedback.
There are no comments on this title.
Log in to your account to post a comment.