Learning from Input and Output: Supervised Learning: Wolfram U Class

Use Predict and Classify functions in Wolfram Language to quickly create a simple model from labeled input data and customize for a specific artificial intelligence task.

Summary
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