内容简介：Chris Wiggins is an associate professor of applied mathematics at Columbia University and the Chief Data Scientist at The New York Times. At Columbia he is a founding member of the executive committee of the Data Science Institute, and of the Department of
About the speaker
Chris Wiggins is an associate professor of applied mathematics at Columbia University and the Chief Data Scientist at The New York Times. At Columbia he is a founding member of the executive committee of the Data Science Institute, and of the Department of Applied Physics and Applied Mathematics as well as the Department of Systems Biology, and is affiliated faculty in Statistics. https://www.linkedin.com/in/wiggins/
About the talk
The Data Science group at The New York Times develops and deploys machine learning solutions to newsroom and business problems. Re-framing real-world questions as machine learning tasks require not only adapting and extending models and algorithms to new or special cases but also sufficient breadth to know the right method for the right challenge. The speaker will first outline how unsupervised, supervised, and reinforcement learning methods are increasingly used in human applications for description, prediction, and prescription, respectively. The speaker will then focus on the ‘prescriptive’ cases, showing how methods from the reinforcement learning and causal inference literatures can be of direct impact in engineering, business, and decision-making more generally.
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Spring 2企业应用开发
人民邮电出版社 / 2008-10 / 45.00元
《Spring 2企业应用开发》是一部权威的实战指南，由Spring开发团队撰写，全面讲述了Spring2企业应用开发。主要涵盖SpringFramework、核心容器、AOP（面向方面编程）、典型的SpringAOP框架等内容。通过阅读《Spring 2企业应用开发》，读者能够在实战中掌握Spring最佳实践，成为高效的Java开发人员。一起来看看 《Spring 2企业应用开发》 这本书的介绍吧!
