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Machine learning, pratically speaking (link) (More data coming in (Single…
Machine learning, pratically speaking (link)
This year's turing price
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Yann LeCun, chief artificial intelligence scientist at Facebook
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Machine learning
Algorithms extract features and tweak inner parameters to model teh data and learn and generalize from them
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Benchmarking
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Interesting: Emphasis on methods learning different types of signals with reasonable performance, problem specifically
Training data
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May stay clear when insufficient data, or not enough similar data
Opinion: For weak data, need to bring information about the mechanism to the table
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Engineers or scientist? Do we want to understand, or get things to simply work?