作为一个在北美生活将近40年的计算机科学家,我很少阅读用中文撰写的技术书籍。所以当作者将此书寄给我时,我很担心我在阅读这本书时会觉得很枯燥或者无法真正理解书中的内容。但令我惊喜和兴奋的是,这本书很快就吸引了我的注意力。这是一本与众不同的书,它将数据科学、统计、机器学习和计算机科学很好地融会贯通在一起,用通俗易懂且令人愉悦的语言介绍了数据科学和深度学习领域的经典内容和前沿知识。此外,这本书还提供了许多十分实用且具体的示例和编程教程。
通过阅读这本书,读者不仅可以学习到数据科学的基本方法和十分前沿的机器学习算法,还可以通过书中的例子和练习学到如何通过编程来实现这些算法和模型。数据科学研究人员、在校研究生以及那些想将数据科学应用到实际生产中的读者们都可以从本书中获益。我非常喜欢阅读这本书,并强烈推荐给想要学习数据科学的读者们!
——韩家炜,ACM Fellow,IEEE Fellow,美国伊利诺大学厄巴纳-尚佩恩分校计算机系Abel Bliss教授
As a computer scientist living in North America for almost 40 years, I barely read any technical books written in Chinese. When Professor Gen Tang sent me this book, I was worried whether it could be too dry for me to read it or whether I can really understand it. To my surprise and excitement, this book has immediately attracted my attention. It is a unique book that blends data science, statistics, machine learning and computer science nicely together, introducing the foundations as well as very frontier of data science and deep learning in an enjoyable and easily accessible way. Besides, it also provides many, very handy and concrete programming tutorials.
By reading it, one can learn not only the general data science principles and very trendy machine learning algorithms, but also hands-on programming exercises on implementing them. This book will benefit data science researcher, graduate students, as well as those who really want to put data science principles into practical implementations. I love reading this book and recommend it highly to everyone who wants to learn data science!
——Jiawei Han, ACM Fellow and IEEE Fellow, Abel Bliss Professor, Department of Computer Science, University of Illinois at Urbana-Champaign