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DTSTART:20130310T070000
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DTSTART:20121104T060000
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UID:69f261d49d854
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\nStatistical or mach
 ine learning involves predicting future outcomes\nfrom past observations.
  Many present day applications involve large\nnumbers of predictor variab
 les\, sometimes much larger than the number\nof cases or observations ava
 ilable to train the learning algorithm.\nIn such situations traditional s
 tatistical methods fail.
DTSTAMP:20260429T195356Z
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