Machine Learning Fundamentals
Interactive AI lesson10 min · Lesson 1 of 4
Frame a machine-learning problem
Define the decision the system will support, the prediction target, the available input at prediction time and the cost of different mistakes.
What you’ll learn
- Connect the model to a real decision
- Define target and unit of prediction
- Avoid using future information as input
- Identify false-positive and false-negative costs
Problem statement
Predict which enrolled learners may need additional support next week using attendance and completed assignments available today; use the score to prompt teacher review, not automatic penalties.Hands-on activityTurn “predict student success” into a measurable target, input window, decision and human review step.
Knowledge check
What is data leakage?