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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.


Via Dr. Stefan Gruenwald
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Aspire To Inspire: Women in Science (NASA)

Think Science, Technology, Engineering, and Math (STEM) is just for boys? We think differently; visit http://women.nasa.gov/a2i/ to find your inspiration! In...

Via Sakis Koukouvis
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More Women needed in science !!

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World Science Festival Video : Steven Weinberg: The Real Needs of Society

World Science Festival Video : Steven Weinberg: The Real Needs of Society | Science Communication from mdashf | Scoop.it

Each generation benefits from the insights and discoveries of those who came before. “If I have seen a little further it is by standing on the shoulders of Giants,” wrote Isaac Newton. In a new annual series, World Science Festival audiences are invited to stand on the shoulders of modern-day giants. When it comes to government support, big science isn’t just about particle colliders. Steven Weinberg, a professor of physics at the University of Texas, Austin, stresses that areas such as education, infrastructure, and healthcare are just as important for a society.


Via Sakis Koukouvis
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Wisdom 

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