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DTSTART:20130310T070000
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DTSTART;TZID=America/Toronto:20130913T143000
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URL:https://uwaterloo.ca/statistics-and-actuarial-science/events/david-spro
 tt-distinguished-lecture-jerome-friedman
LOCATION:M3 - Mathematics 3 200 University Avenue West 1006 Waterloo ON N2L
  3G1 Canada
SUMMARY:David Sprott Distinguished Lecture by Jerome Friedman
CLASS:PUBLIC
DESCRIPTION:SPARSITY\, BOOSTING AND ENSEMBLE METHODS\n\n[Jerome Friedman]St
 atistical or machine learning involves predicting\nfuture outcomes from pa
 st observations. Many present day applications\ninvolve large numbers of
  predictor variables\, sometimes much larger\nthan the number of cases o
 r observations available to train the\nlearning algorithm. In such situati
 ons traditional statistical\nmethods fail.
DTSTAMP:20260406T175725Z
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