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Computer Vision: From 3D Reconstruction to Visual Recognition (Coursera) 0 个评论 关注

开始时间: 待定 持续时间: 未知

主页: https://www.coursera.org/course/computervision

简介: This course delivers a systematic overview of computer vision, emphasizing two key issues in modeling vision: space and meaning. We will study the fundamental theories and important algorithms of computer vision together, starting from the analysis of 2D images, and culminating in the holistic understanding of a 3D scene.

Introduction to Mathematical Philosophy (Coursera) 0 个评论 关注

开始时间: 04/27/2015 持续时间: 8 weeks

主页: https://www.coursera.org/course/mathphil

简介: Learn how to apply mathematical methods to philosophical problems and questions.

Introduction to Data Science (Coursera) 5 个评论 关注

开始时间: 06/30/2014 持续时间: 8 weeks

主页: https://www.coursera.org/course/datasci

简介: Join the data revolution. Companies are searching for data scientists. This specialized field demands multiple skills not easy to obtain through conventional curricula. Introduce yourself to the basics of data science and leave armed with practical experience extracting value from big data.

Discrete Optimization (Coursera) 3 个评论 关注

开始时间: 03/04/2015 持续时间: 9 weeks

主页: https://www.coursera.org/course/optimization

简介: Tired of solving Sudokus by hand? This class teaches you how to solve complex search problems with discrete optimization, including constraint programming, local search, and mixed-integer programming.

Think Again: How to Reason and Argue (Coursera) 1 个评论 关注

开始时间: 08/24/2015 持续时间: 12 weeks

主页: https://www.coursera.org/course/thinkagain

简介: Reasoning is important.  This course will teach you how to do it well.  You will learn how to understand and assess arguments by other people and how to construct good arguments of your own about whatever matters to you.

機器學習技法 (Machine Learning Techniques) (Coursera) 2 个评论 关注

开始时间: 11/10/2015 持续时间: 8 weeks

主页: https://www.coursera.org/course/ntumltwo

简介: The course extends the fundamental tools in "Machine Learning Foundations" to powerful and practical models by three directions, which includes embedding numerous features, combining predictive features, and distilling hidden features. [這門課將先前「機器學習基石」課程中所學的基礎工具往三個方向延伸為強大而實用的工具。這三個方向包括嵌入大量的特徵、融合預測性的特徵、與萃取潛藏的特徵。]

Text Mining and Analytics (Coursera) 0 个评论 关注

开始时间: 06/08/2015 持续时间: 4 weeks

主页: https://www.coursera.org/course/textanalytics

简介: Explore algorithms for mining and analyzing big text data to discover interesting patterns, extract useful knowledge, and support decision making.