Your next step

Learning from examples

Follow data to model to output, with no mathematics.

What you’ll learn

Data means examples and records
Identify data that could be relevant to a stated learning task.
About 4 minutes · Open activity
Labels tell us the intended answer
Identify the label in a simple supervised-learning example.
About 4 minutes · Open activity
Training changes patterns
Describe training as adjusting a model using examples.
About 4 minutes · Open activity
The model is what was learned
Distinguish a trained model from its example collection.
About 4 minutes · Open activity
Using a model is a different step
Distinguish training from applying an existing model.
About 4 minutes · Open activity
Practice examples are not the final test
Explain why evaluation needs examples not used for training.
About 4 minutes · Open activity
Missing examples leave gaps
Recognize how an unrepresentative example set can hurt performance.
About 4 minutes · Open activity
A pattern does not prove a cause
Distinguish association from evidence that one thing caused another.
About 4 minutes · Open activity
Test a simple sorter
Inspect a training set, separate training from testing, and explain a failure caused by a missing kind of example.
About 6 minutes · Open activity