Machine Learning Fundamentals: A Concise Introduction

ISBN-13: 9781108940023 / Angielski / Miękka / 2021 / 400 str.

Toronto) Jiang Hui (York University

Opis

A coherent introduction to core concepts and deep learning techniques that are critical to academic research and real-world applications.

Recenzje

'It is beautifully designed, with many color images that make the complex subject matter manageable … It is a book for students and developers who are committed to specializing in ML or a specific area of ​​it.' Karl van Heijster , De Leesclub van Alles

Spis treści

1. Introduction; 2. Mathematical Foundation; 3. Supervised Machine Learning (in a nutshell); 4. Feature Extraction; 5. Statistical Learning Theory; 6. Linear Models; 7. Learning Discriminative Models in General; 8. Neural Networks; 9. Ensemble Learning; 10. Overview of Generative Models; 11. Unimodal Models; 12. Mixture Models; 13. Entangled Models; 14. Bayesian Learning; 15. Graphical Models.