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Stanford Lectures for Machine Learning

Stanford Lectures for Machine Learning | Science Communication from mdashf | Scoop.it

Lecture series by Professor Andrew Ng for Machine Learning (CS 229) in the Stanford Computer Science department. This course 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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Cleverer still - Geniuses are getting brighter. Girls are not as far behind boys as they used to be

Cleverer still - Geniuses are getting brighter. Girls are not as far behind boys as they used to be | Science Communication from mdashf | Scoop.it

SCIENCE has few more controversial topics than human intelligence—in particular, whether variations in it are a result of nature or nurture, and especially whether such variations differ between the sexes. The mines in this field can blow up an entire career, as Larry Summers found out in 2005 when he spoke of the hypothesis that the mathematical aptitude needed for physics and engineering, as well as for maths itself, is innately rarer in women than in men. He resigned as president of Harvard University shortly afterwards.


Via Dr. Stefan Gruenwald
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