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The 13th Machine Learning Summer School
The 13th Machine Learning Summer School was held in Cambridge, UK. This year's edition was organized by the University of Cambridge, Microsoft Research and PASCAL. The school offered an overview of basic and advanced topics in machine learning through theoretical and practical lectures given by leading researchers in the field. We hope to attract international students, young researchers and industry practitioners with a keen interest in machine learning and a strong mathematical background.
Google Tech Talk Review: Statistical Aspects of Data Mining | A Beautiful WWW
This is a talk series being given at Google by David Mease based on a Master’s level stats course he is teaching this summer at Stanford. Its easy listening if you already have some data mining or stats background.
YouTube - Machine Learning Course Playlist
This course (CS229) -- taught by Professor Andrew Ng -- provides a broad introduction to machine learning and statistical pattern recognition. Topics include supervised learning, unsupervised learning, learning theory, reinforcement learning and adaptive control. Recent applications of machine learning, such as to robotic control, data mining, autonomous navigation, bioinformatics, speech recognition, and text and web data processing are also discussed.
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