Wolfram U

Learning from Input and Output: Supervised Learning

Estimated Time: 40 min

Course Level: Beginner


Wolfram Language contains several built-in functions for supervised learning tasks. This lesson shows how to use these functions to quickly create a simple interpretative model from labelled training data. You can also customize the model for a specific task by setting various model options as well as evaluate the performance of the trained model.

Featured Products & Technologies: Wolfram Language

You'll Learn To

  • Perform classification tasks with Wolfram Language function Classify
  • Build a custom model by setting different options like Methods, PerformanceGoal, UtilityFunction, etc.
  • Predict target values with Wolfram Language function Predict
  • Compute performance metrics like Accuracy and ConfusionMatrix