Inference in statistical modelling and machine learning : a concise introduction / James Burridge, Nick Tosh

Format:

Book

Author/Creator:

Burridge, James, author.

Tosh, Nick, author.

Language:

English

Subjects (All):

Inference.

Machine learning.

Mathematical statistics.

Machine Learning.

Medical Subjects:

Machine Learning.

Physical Description:

1 online resource

Place of Publication:

Cambridge : Cambridge University Press, 2026

Summary:

"Statistical modelling and machine learning offer a vast toolbox of inference methods with which to model the world, discover patterns and reach beyond the data to make predictions when the truth is not certain. This concise book provides a clear introduction to those tools and to the core ideas – probabilistic model, likelihood, prior, posterior, overfitting, underfitting, cross-validation – that unify them. Toy and real examples illustrate diverse applications ranging from biomedical data to treasure hunts, while the accompanying datasets and computational notebooks in R and Python encourage hands-on learning. Instructors can benefit from online lecture slides and solutions to all the exercises. Requiring only first-year university-level knowledge of calculus, probability and linear algebra, the book equips students in statistics, data science and machine learning, as well as those in quantitative applied and social science programmes, with the tools and conceptual foundations to explore more advanced techniques"-- Cambridge Core

Contents:

Orientation

Supervised learning warm-up

Unsupervised learning warm-up

Interlude : probability, likelihood, and Bayes

Probabilistic modelling

Frequentist and Bayesian uncertainty

Frequentist linear regression

Directed graphical models

Bayesian linear regression, priors, and regularisation

Bayesian methods

Classification

Unsupervised learning : a deeper dive

Neural networks and deep learning

Expanding the toolkit

Notes:

Includes bibliographical references and index

Online resource; title from PDF title page (Cambridge Core, viewed May 26, 2026)

Other Format:

Print version: Burridge, James Inference in statistical modelling and machine learning

ISBN:

9781009630696

1009630695

OCLC:

1585502143

Publisher Number:

CIPO000365825

Access Restriction:

Restricted for use by site license