Sports Betting and Sports Analytics: Using Data Science for Enhanced Predictions
Introduction Artificial intelligence (AI) develops various methods for computers to perform creative tasks traditionally associated with humans. Closely related to AI are machine learning and data mining. Machine learning is a subfield of AI that focuses on building self-learning models, while data mining utilizes machine learning methods to extract valuable and non-trivial information from vast datasets available in various scientific and human domains. By employing more advanced tools that can directly work with data, data mining identifies patterns in data that go beyond simple statistical analysis. Modern AI methods, such as associative rules , decision trees, Gaussian mixture models, regression algorithms, neural networks, support vector machines, Bayesian networks, and more, are used in many areas to address problems of association, classification, segmentation, diagnostics, and prediction. It is logical that AI methods find applications in the extreme human activity of hi...