Machine Learning: Theory and Practice

ISBN-13: 9780367433543 / Angielski / Twarda / 2022 / 304 str.

Jugal (University of Colorado) Kalita

Opis

This book provides an introduction to the most popular methods in machine learning. It covers regression including regularization, tree-based methods including Random Forests and Boosted Trees, Artificial Neural Networks including CNNs, reinforcement learning, and unsupervised learning focused on clustering.

Spis treści

1. Introduction. 2. Regression. 3. Tree-Based Classi cation and Regression. 4. Arti cial Neural Networks. 5. Reinforcement Learning. 6. Unsupervised Learning. 7. Conclusions.