1. SOCCER ANALYTICS: AN EXAMINATION OF CURRENT APPROACHES FOR GAME OUTCOME PREDICTION AND THE POTENTIAL OF DEEP LEARNING WITH ARTIFICIAL NEURAL NETWORKS Open Access Author: Gomez Lorente, Juan Title: SOCCER ANALYTICS: AN EXAMINATION OF CURRENT APPROACHES FOR GAME OUTCOME PREDICTION AND THE POTENTIAL OF DEEP LEARNING WITH ARTIFICIAL NEURAL NETWORKS Area of Honors: Industrial Engineering Keywords: Machine LearningDeep LearningNeural NetworksArtificial Neural NetworksPoisson RegressionSoccerSports AnalyticsBettingPredictive ModellingMoneyball AnalyticsSoftMax ClassifierRegressioneffects encodingfeed-forward networksbackpropagationgradient descentresilient backpropagationNewton's MethodTaylor Series expansionManhattan RuleBroyden–Fletcher–Goldfarb–Shanno algorithmBFGSQuasi-Newton Methods File: Download Juan_GomezLorente.pdf Thesis Supervisors: Hui Yang, Thesis SupervisorDr. Catherine Mary Harmonosky, Thesis Honors Advisor
