Mathematics for machine learning
Detalles de publicación: Cambridge, United Kingdom: Cambridge University Press, 2020Descripción: xvii, 371 páginas: ilustraciones (algunas a color)ISBN:- 9781108455145
- 006.31 D325m 2020
Contenidos:
Mathematical Foundations. Introduction and motivation -- Linear algebra -- Analytic geometry -- Matrix decompositions -- Vector calculus -- Probability and distribution -- Continuous optimization -- 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.
| Tipo de ítem | Biblioteca | Colección | Clasificación | Copia | Estado | Código de barras | |
|---|---|---|---|---|---|---|---|
| Libro | Biblioteca Rancagua | Colección General | 006.31 D325m 2020 | 1 | Disponible | 005335 | |
| Libro | Biblioteca Rancagua | Colección General | 006.31 D325m 2020 | 2 | Disponible | 005336 |
Mathematical Foundations. Introduction and motivation -- Linear algebra -- Analytic geometry -- Matrix decompositions -- Vector calculus -- Probability and distribution -- Continuous optimization -- 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.