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VERSION:2.0
PRODID:-//RLASKEY//CALENDEROUS//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VEVENT
DTSTAMP:20260917T125154Z
LAST-MODIFIED:20181127T184557Z
DTSTART:20181204T203000Z
DTEND:20181204T213000Z
UID:event1987@bu.edu
URL:http://physics.bu.edu/internal/events/show/1987
SUMMARY:Machine Learning and How Physicists Can Think About It
DESCRIPTION:Featuring Jared Kaplan\, Johns Hopkins University\nHosted by: L
	iam Fitzpatrick\nPoster: http://physics.bu.edu/internal//files/download/Kap
	lan-poster.pdf\n\nPart of the Physics Department Colloquia Series.\n\nIn th
	e last six years there has been an explosion of progress in Machine Learnin
	g.  In this colloquium I'll explain the (very simple) ideas underlying Neur
	al Networks\, and give a few examples of their structure and current capabi
	lities.  Then I'll survey the increasing scales of data and computation in 
	this field\, and make some comparisons and projections to see where it coul
	d be headed.
LOCATION:SCI 109\, 590 Commonwealth Avenue\, 02215
STATUS:CONFIRMED
CLASS:PUBLIC
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