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已有 8944 次阅读 2011-9-8 16:51 |个人分类:好文共欣赏|系统分类:科研笔记| 人工智能, 机器学习, 斯坦福, 在线公开课

开始时间: 2011年10月10日 周一 09:00
结束时间: 2011年12月16日 周五 09:00
详情见 http://www.ai-class.com/ 
A bold experiment in distributed education, "Introduction to Artificial Intelligence" will be offered free and online to students worldwide during the fall of 2011. The course will include feedback on progress and a statement of accomplishment. Taught by Sebastian Thrun and Peter Norvig, the curriculum draws from that used in Stanford's introductory Artificial Intelligence course. The instructors will offer similar materials, assignments, and exams. 
Artificial Intelligence is the science of making computer software that reasons about the world around it. Humanoid robots, Google Goggles, self-driving cars, even software that suggests music you might like to hear are all examples of AI. In this class, you will learn how to create this software from two of the leaders in the field. Class begins October 10. 
Details on the course, including a syllabus is available here. Sign up above to receive additional information about participating in the online version when it becomes available
开始时间: 2011年10月10日 周一 07:00
结束时间: 2011年12月6日 周二 06:00
详情见 http://www.ml-class.com/ 
Course Description 
This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition. Topics include: (i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks). (ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning). (iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI). (iv) Reinforcement learning. The course will also draw from numerous case studies and applications, so that you'll also learn how to apply learning algorithms to building smart robots (perception, control), text understanding (web search, anti-spam), computer vision, medical informatics, audio, database mining, and other areas.


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