Saturday, February 24 2:00 PM – 3:00 PM
In this workshop we will introduce machine learning techniques that have significant applications in sports analytics. We will start by introducing latent space learning methods with an emphasis on matrix factorization, its generalization on tensors as well as network embedding techniques. Latent space learning can facilitate tasks in sports analytics such as ranking and identifying spatio-temporal patterns. We will also briefly discuss state-of-the-art applications of neural networks in sports.