A. C. Faul

A Concise Introduction to Machine Learning

• Broschiertes Buch

Produktbeschreibung

A Concise Introduction to Machine Learning uses mathematics as the common language to explain a variety of machine learning concepts from basic principles and illustrates every concept using examples in both Python and Matlab® and can be run in Binder in a web browser. Each chapter concludes with exercises to explore the content.

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Produktdetails

• Verlag: Taylor & Francis Ltd
• Seitenzahl: 334
• Erscheinungstermin: 22. April 2025
• Englisch
• Abmessung: 234mm x 156mm
• ISBN-13: 9781032878140
• ISBN-10: 1032878142
• Artikelnr.: 71956144

Autorenporträt

A.C. Faul is a passionate educator believing that only with deep understanding of the underlying connecting principles of algorithms progress can be made. She obtained an MASt and PhD in Mathematics at the University of Cambridge. She has worked a variety of algorithms both in industry and academic setting.

Inhaltsangabe

Chapter 1. Introduction
Chapter 2. Probability Theory
Chapter 3. Sampling
Chapter 4. Linear Classification
Chapter 5. Non-Linear Classification
Chapter 6. Dimensionality Reduction
Chapter 7. Regression
Chapter 8. Feature Learning
Appendix A. Matrix Formulae
Index