AI for Data Science
Lesson 3 of 6
0%Lesson 3
40 min
AutoML and Model Selection
Listen to the full lesson
AI NarrationQuick Summary
AutoML platforms try many model architectures and hyperparameters automatically, then surface the best. They are excellent for tabular baselines and dangerous when the team treats them as a substitute for understanding the problem.
What you will learn
- Understand AutoML and when to use it vs. manual model selection
- Use AI to assist with model interpretation and explainability
- Apply AI to hyperparameter optimization
Advanced Content
Sign in to unlock this lesson
AutoML and Model Selection is part of AI for Data Science — an advanced module. We keep these gated so we can save your progress, recommend next steps, and personalize the curriculum.
All beginner content stays free and open — no login required there.