Transfer learning is one of the most important technologies in the era of artificial intelligence and deep learning. It seeks to leverage existing knowledge by transferring it to another, new domain. Over the years, a number of relevant topics have attracted the interest of the research and application community: transfer learning, pre-training and fine-tuning, domain adaptation, domain generalization, and meta-learning.

This book offers a comprehensive tutorial on an overview of transfer learning, introducing new researchers in this area to both classic and more recent algorithms. Most importantly, it takes a “student’s” perspective to introduce all the concepts, theories, algorithms, and applications, allowing readers to quickly and easily enter this area. Accompanying the book, detailed code implementations are provided to better illustrate the core ideas of several important algorithms, presenting good examples for practice.

About the Author:

Jindong Wang is currently a senior researcher at Microsoft Research Asia. Before that, he obtained his PhD from the Institute of Computing Technology, Chinese Academy of Sciences, in 2019. His main research interests are in transfer learning, domain adaptation, domain generalization, and their applications in ubiquitous computing systems. He has co-published a Chinese-language textbook, Introduction to Transfer Learning, and numerous papers in leading journals and conferences, such as the IEEE TKDE, TNNLS, ACM TIST, NeurIPS, CVPR, IJCAI, UbiComp, and ACMMM. He was awarded the best application paper at the IJCAI'19 federated learning workshop and best paper at ICCSE'18. He has served as the publicity chair of IJCAI'19 and the transfer learning session chair of ICDM'19.

Yiqiang Chen is currently a professor at the Institute of Computing Technology, Chinese Academy of Sciences. His main research interests are in artificial intelligence and pervasive computing. He has published more than 180 papers in leading journals and conferences such as the IEEE TKDE, AAAI, and IJCAI. He has served as the general PC chair of the IEEE UIC 2019, PCC 2017, and CWCC 2019. He is a founding committee member of the IEEE wearable and intelligent interaction committee (IWCD) and an associate editor for IEEE TETCI and IJMLC. He has won several best paper awards, including best application paper at IJCAI-FL'19, IJIT 15th anniversary best paper award, and ICCSE'18 best paper award.

"About this title" may belong to another edition of this title.

Store Description

Save up to 90% on your favorite items at BargainBookStores.com! Our 20,000 square foot warehouse in Grand Rapids, Michigan is filled with hundreds of thousands of books and consumer goods, all at the lowest prices! We've been serving internet customers with great deals since 2001. All books ship from Grand Rapids, Michigan. 100% Customer Satisfaction Guaranteed We want to ensure your satisfaction. If you are dissatisfied with your purchase or shopping experience, we would like to hear from you. Please contact us by email: cs@bargainbookstores.com. Please be sure to include your contact information and order number. We do not charge a restocking fee for returns. Your Privacy BargainBookStores.com does not provide, sell or market customer information to other businesses or organizations.

Visit Seller's Storefront

Seller's business information

BargainBookStores
3423 Lousma Dr SE, Grand Rapids, MI, 49548, U.S.A.

Terms of Sale:

BargainBookStores guarantees 100% Customer Satisfaction. We ship worldwide and offer a variety of shipping methods to meet your needs. Please place your order directly via ABEBooks.com. We accept payment by MasterCard and Visa. For more information, contact us by email at cs@bargainbookstores.com. Full contact info is below:

BargainBookStores.com LLC
3423 Lousma Dr SE
Grand Rapids, MI 49548

Shipping Terms:

We will ship to all domestic and most international destinations.

Please note: Shipping times are estimated and are not guaranteed by BargainBookStores.

Payment Methods
accepted by seller