Western and East Asian people hold fundamentally different beliefs about learning that influence how they approach child rearing and education. Reviewing decades of research, Dr Jin Li presents an important conceptual distinction between the Western mind model and the East Asian virtue model of learning. The former aims to cultivate the mind to understand the world, whereas the...(展开全部)

Western and East Asian people hold fundamentally different beliefs about learning that influence how they approach child rearing and education. Reviewing decades of research, Dr Jin Li presents an important conceptual distinction between the Western mind model and the East Asian virtue model of learning. The former aims to cultivate the mind to understand the world, whereas the...(展开全部)

A subversive thinker draws out the historical significance of the most intimate corners of our lives. The development of romantic love, the evolution of national and regional cuisines, the globalization of Chinese food, the histories of various taboos on certain types of food and drink, the uniqueness of the European family—such are the fascinating and diverse themes Goody addr...(展开全部)

Wu Ching-hsiung (1899-1986) , also known as John C. H. Wu, was an author, lawyer, juristic philosopher, educator, and prominent Catholic convert and layman. He was president of the Special High Court at Shanghai, vice chairman of the Legislative Yuan's constitution drafting committee, founder of the T'ien Hsia Monthly, translator of the Psalms and the New Testament into Chinese...(展开全部)

Fundamental topics in machine learning are presented along with theoretical and conceptual tools for the discussion and proof of algorithms. This graduate-level textbook introduces fundamental concepts and methods in machine learning. It describes several important modern algorithms, provides the theoretical underpinnings of these algorithms, and illustrates key aspects for the...(展开全部)

A new edition of a graduate-level machine learning textbook that focuses on the analysis and theory of algorithms. This book is a general introduction to machine learning that can serve as a textbook for graduate students and a reference for researchers. It covers fundamental modern topics in machine learning while providing the theoretical basis and conceptual tools needed for...(展开全部)

A new edition of a graduate-level machine learning textbook that focuses on the analysis and theory of algorithms. This book is a general introduction to machine learning that can serve as a textbook for graduate students and a reference for researchers. It covers fundamental modern topics in machine learning while providing the theoretical basis and conceptual tools needed for...(展开全部)

Fundamental topics in machine learning are presented along with theoretical and conceptual tools for the discussion and proof of algorithms. This graduate-level textbook introduces fundamental concepts and methods in machine learning. It describes several important modern algorithms, provides the theoretical underpinnings of these algorithms, and illustrates key aspects for the...(展开全部)

This book offers a comprehensive introduction to the central ideas that underpin deep learning. It is intended both for newcomers to machine learning and for those already experienced in the field. Covering key concepts relating to contemporary architectures and techniques, this essential book equips readers with a robust foundation for potential future specialization. The fiel...(展开全部)