Predicting balls and strikes using TensorFlow.js

D3.js, and the power of the web to visualize the process of training a model to predict balls (blue areas) and strikes (orange areas) from baseball data. As we go, we'll visualize the strike zone the model understands throughout training. You can run this model entirely in the browser by visiting this Observable notebook. Today's professional sports environment is packed with large amounts of data. This data is being applied to all sorts of use cases by teams, hobbyists, and fans.