Language: English
Published by Tsinghua University Press, 2023
ISBN 10: 7302631581 ISBN 13: 9787302631583
Seller: liu xing, Nanjing, JS, China
paperback. Condition: New. Paperback.Pub Date:2023-06 Pages:528 Publisher:Tsinghua University Press This book focuses on economic and financial problems of empirical dimension and how to solve these problems with machine learning methods and draw corresponding conclusions by building relevant models. This includes various distinguishing deep learning models (DNNs. CNNs. LSTMs and DQNs). generative machine learning models (GANs and VAEs) and tree-based models. The book also covers the intersection of empirical methods i.