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Lecture 12

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chris wiggins edited this page Apr 9, 2017 · 5 revisions

Readings for April 11

(cf., https://data-ppf.slack.com/archives/C3SJQ5FH9/p1491620769670344 ).

This week the theme is "Technology and data: databases & deep learning"

Readings are:

  1. databases: The chapter from Jeff Hammerbacher which we started on Thursday morning (posted in slack at https://data-ppf.slack.com/files/chris/F4VEQADT6/hammer-chapter.pdf )

  2. databases: A preprint chapter from our own Professor Jones ( https://data-ppf.slack.com/files/chris/F4VNZTBDE/jones_querying_archive_uncorrected_proof.pdf )

  3. deep learning: A review from Yann Lecun and Geoff Hinton ( https://www.cs.toronto.edu/~hinton/absps/NatureDeepReview.pdf )

OPTIONAL: 4. a very conversational piece on the impact of deep learning on translation, from The New York Times Magazine, from December: "The Great AI awakening" https://www.nytimes.com/2016/12/14/magazine/the-great-ai-awakening.html

  1. a very conversational piece on the impact of deep learning on the medical profession, particularly radiology, by Columbia's own Siddhartha Mukherjee: "A.I. VERSUS M.D." in The New Yorker, from Last week: http://www.newyorker.com/magazine/2017/04/03/ai-versus-md

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