Machine learning: theory and practice
Auteur :
Kalita, Jugal
Éditeur :
Taylor & Francis Ltd
ISBN :
9780367433529
Date de publication :
19 déc. 2024
Dimensions :
23,4 x 15,6 cm
Poids :
453 g
Langue :
Anglais
Pays d'origine :
Grande Bretagne
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.