Language: English
Published by People's Posts and Telecommunications Publishing House, 2025
ISBN 10: 7115652066 ISBN 13: 9787115652065
Seller: liu xing, Nanjing, JS, China
paperback. Condition: New. Paperback. Pub Date: 2025-01 Pages: 251 Publisher: Posts & Telecom Press This book is an introductory textbook for machine learning. explaining the principles and applications of mainstream machine learning algorithms. The book focuses on a deep and systematic explanation of the principles of classic machine learning algorithms such as linear regression. logistic regression. Naive Bayes. K-nearest neighbors. decision trees. support vector machines. K-means clustering. Gaussian mixture models.