Sports Analytics Video – Convolutional Neural Networks

In this installment of Victor Holman’s Sports Analytics 3 Minute Drill, Victor explains Convolutional Neural Networks. In deep learning, a convolutional neural network (CNN, or ConvNet) is a class of deep neural networks, most commonly applied to analyzing visual imagery. Convolutional Neural Networks use a variation of multilayer perceptrons designed to require minimal preprocessing. They are…

Sports Analytics Video – Qualitative Exploration

In this installment of Victor Holman’s Sports Analytics 3 Minute Drill, Victor explains qualitative exploration. Probably the oldest of all scientific techniques, qualitative exploration is a method used extensively by scientists, researchers and analysts to study human behavior, opinions, themes and motivations. Different from quantitative data, which relates to quantities, amounts and measurements that can be…

Sports Analytics Video – Spatio Temporal Trajectory Clustering

In this installment of Victor Holman’s Sports Analytics 3 Minute Drill, Victor explains spatio-temporal trajectory clustering. Spatio-temporal trajectory clustering methods identify heterogeneous patterns and explore underlying mechanisms and are designed to consider both temporal and spatial information in trajectories. Applying the time-dependent shortest-path distance measurement and taking advantage of topological relations of a predefined network,…