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Date: 2016-06-14 05:25:30 Computing Economy Business Business intelligence Formal sciences Analytics Big data Mathematical finance Prescriptive analytics Cloudera MIT Sloan Sports Analytics Conference Randy Bean		Intermediate Advanced All Add to Reading List Source URL: www.bigdata-toronto.com Download Document from Source Website File Size: 851,14 KB Share Document on Facebook

	Intermediate Advanced All DocID: 1rtaR - View Document
	MIT Sloan Sports Analytics Conference 2012 March 2-3, 2012, Boston, MA, USA Predicting the Next Pitch Gartheeban Ganeshapillai, John Guttag Massachusetts Institute of Technology, DocID: 12f8P - View Document
	MIT Sloan Sports Analytics Conference 2011 March 4-5, 2011, Boston, MA, USA Allocative and Dynamic Efficiency in NBA Decision Making Matt Goldman DocID: RlnJ - View Document
	POINTWISE: Predicting Points and Valuing Decisions in Real Time with NBA Optical Tracking Data Dan Cervone†, Alexander D’Amour†, Luke Bornn†, and Kirk Goldsberry‡ Department of Statistics† and Institute for Q DocID: KbeG - View Document
	Using Topological Data Analysis for Sports Analytics In a special topic seminar put together by our data scientist Alexis Johnson and Muthu Alagappan, we show how we use the shape in basketball statistics to compare play DocID: nuk1 - View Document