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2. SOCCER ANALYTICS: AN EXAMINATION OF CURRENT APPROACHES FOR GAME OUTCOME PREDICTION AND THE POTENTIAL OF DEEP LEARNING WITH ARTIFICIAL NEURAL NETWORKS

open_access
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 Learning
Deep Learning
Neural Networks
Artificial Neural Networks
Poisson Regression
Soccer
Sports Analytics
Betting
Predictive Modelling
Moneyball Analytics
SoftMax Classifier
Regression
effects encoding
feed-forward networks
backpropagation
gradient descent
resilient backpropagation
Newton's Method
Taylor Series expansion
Manhattan Rule
Broyden–Fletcher–Goldfarb–Shanno algorithm
BFGS
Quasi-Newton Methods
File:
Download Juan_GomezLorente.pdf
Thesis Supervisors:
Hui Yang, Thesis Supervisor
Dr. Catherine Mary Harmonosky, Thesis Honors Advisor