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Advanced Topics in Machine Learning - Caltech

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Learn<strong>in</strong>g from massive data ! Many applica8ons require ga<strong>in</strong><strong>in</strong>g <strong>in</strong>sights from massive, noisy data sets ! Science ! Physics (LHC, …), Astronomy (sky surveys, …), Neuroscience (fMRI, micro-­‐electrode arrays, …), Biology (High-­‐throughput microarrays, …), Geology (sensor arrays, …), … ! Social science, economics, … ! Commercial / civil applica8ons ! Consumer data (onl<strong>in</strong>e adver8s<strong>in</strong>g, viral marke8ng, …) ! Health records (evidence based medic<strong>in</strong>e, …) ! Security / defense related applica8ons ! Spam filter<strong>in</strong>g / <strong>in</strong>trusion detec8on ! Surveillance, … 2

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