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Practical Bayesian Optimization of Machine Learning Algorithms Jasper Snoek Department of Computer Science University of Toronto email@example.com for*Machine*Learning* CSC2515 Shenlong*Wang* Tuesday,*January*13,*2015* Bayesian*ProbabiliOes* вЂў *****is*the*likelihoodfunc8on
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Bayesian Methods for Machine Learning Radford M. Neal, University of Toronto Tutorial Outline Bayesian inference is based on using probability to represent all It builds a surrogate for the objective and quantifies the uncertainty in that surrogate using a Bayesian machine learning tutorial, we describe how Bayesian