Mathematics for machine learning / Marc Peter Deisenroth, A. Aldo Faisal, Cheng Soon Ong.
Material type:
TextPublisher: Cambridge ; New York, NY : Cambridge University Press, 2020Description: pages cmContent type: text Media type: unmediated Carrier type: volumeISBN: 9781108470049; 9781108455145Subject(s): Machine learning -- MathematicsAdditional physical formats: Online version:: Mathematics for machine learning.DDC classification: 006.31, DEI LOC classification: Q325.5 | .D45 2020
Contents:
Introduction and motivation (Page-1), Linear algebra (Page-8),Analytic geometry (Page-57), Matrix decompositions (Page-82),Vector calculus (Page-120), Probability and distribution (Page-152),Continuous optimization (Page-201),When models meet data (Page-225),Linear regression (Page-260), Dimensionality reduction with principal component analysis (Page-286), Density estimation with Gaussian mixture models (Page-314),Classification with support vector machines. (Page-335).
| Item type | Current location | Home library | Shelving location | Call number | Status | Notes | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|---|---|---|
Book
|
Military College of Signals (MCS) | Military College of Signals (MCS) | General Stacks | 006.31, DEI (Browse shelf) | Checked out to Khawir Mahmood (37405-0615499-9) | Almirah Fresh No.44, Shelf No.1 | 01/22/2025 | MCS38609 |
Total holds: 0
Introduction and motivation (Page-1), Linear algebra (Page-8),Analytic geometry (Page-57), Matrix decompositions (Page-82),Vector calculus (Page-120), Probability and distribution (Page-152),Continuous optimization (Page-201),When models meet data (Page-225),Linear regression (Page-260), Dimensionality reduction with principal component analysis (Page-286), Density estimation with Gaussian mixture models (Page-314),Classification with support vector machines. (Page-335).
Click on an image to view it in the image viewer
There are no comments on this title.