Skip to content

Opening book details…

Can I read Machine Learning : ǂthe ǂArt and Science of Algorithms That Make Sense of Data on EtoBox?

Machine Learning : ǂthe ǂArt and Science of Algorithms That Make Sense of Data by Peter Flach; Cambridge University Press is a science book available to read on EtoBox.

What is Machine Learning : ǂthe ǂArt and Science of Algorithms That Make Sense of Data about?

<p>As one of the most comprehensive machine learning texts around, this book does justice to the field's incredible richness, but without losing sight of the unifying principles. Peter Flach's clear, example-based approach begins by discussing how a spam filter works, which gives an immediate introduction to machine learning in action, with a minimum of technical fuss. Flach provides case studies of increasing complexity and variety with well-chosen examples and illustrations throughout. He covers a wide range of logical, geometric and statistical models and state-of-the-art topics such as matrix factorisation and ROC analysis. Particular attention is paid to the central role played by features. The use of established terminology is balanced with the introduction of new and useful concepts, and summaries of relevant background material are provided with pointers for revision if necessary. These features ensure Machine Learning will set a new standard as an introductory textbook.</p>

Who reads Machine Learning : ǂthe ǂArt and Science of Algorithms That Make Sense of Data?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Peter Flach; Cambridge University Press
Publisher
Cambridge University Press (Virtual Publishing)
Published
2012
Language
EN
ISBN
9781139570312
Category
science
Subjects
Engineering, Science, Computer Science
Rating
4.2 / 5 (81 ratings)
Updated
2026-03-14

Other editions & translations

More by Peter Flach; Cambridge University Press

Browse all works by Peter Flach; Cambridge University Press

Similar books