Ml Lab

A family of tools that share one engine and grow with students across grades.

5 tools

Train a robot to recognize cats vs dogs by giving examples; see how more examples improve it.

Train an AI with skewed examples and see it fail; fix it with better training data.

Train a classifier to sort fruit by features; test accuracy on new examples.

Tune a model's training data and features to improve accuracy and reduce bias; see the confusion matrix.

Test AI-generated outputs for accuracy and bias; evaluate training data and choose the right model type.