A first course in machine learning / Simon Rogers, Mark Girolami.
By: Rogers, Simon.
Contributor(s): Girolami, Mark.
Series: ©2020Edition: 2nd.Description: xx, 397 pages ill. ; 25 cm.Content type: text Media type: unmediated Carrier type: volumeISBN: 9780367574642(paperback).Subject(s): Machine learningGenre/Form: Print books.
Contents:
Linear modelling: a least squares approach -- Linear modelling: a maximum likelihood approach -- The Bayesian approach to machine learning -- Bayesian inference -- Classification -- Clustering -- Principal components analysis and latent variable models --
| Current location | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|
| On Shelf | Q325.5 .R64 2020 (Browse shelf) | Available | AU00000000018992 |
Total holds: 0
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| Q325.5 .P35 2020 Practical MATLAB deep learning : a project-based approach / | Q325.5 .P48 2017 Elements of causal inference : foundations and learning algorithms / | Q325.5 .R64 2012 A first course in machine learning / | Q325.5 .R64 2020 A first course in machine learning / | Q325.5 .S45 2018 The deep learning revolution / | Q325.5 .S475 2014 Understanding machine learning : from theory to algorithms / | Q325.5 .S5 2018 Introduction to deep learning : from logical calculus to artificial intelligence / |
Includes bibliographical references and index.
Linear modelling: a least squares approach -- Linear modelling: a maximum likelihood approach -- The Bayesian approach to machine learning -- Bayesian inference -- Classification -- Clustering -- Principal components analysis and latent variable models --