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Wolfram U

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

via Wolfram U

Overview

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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.

Course Overview
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 (available in Mathematica and Wolfram|One)
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

Syllabus

  • 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

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