DBTB INT Greg Lindahl
summary
Describes efforts to make Internet Archive collections more accessible, with 12 petabytes compressed of web archive back to 1996, plans to scan 10 million books, and work on extracting sentences that mention years and associated entities to build exploratory tools. Argues that data scientists need a strong grounding in statistics and often prefers hires from hard sciences or economics rather than pure CS. Offers concrete scale figures and simple extraction examples rather than deep algorithm demos.
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