
Data & AI
Machine Learning Intuition
What a model is fitting, where it fails, and which problems are not machine learning problems.
9 lessons12 minIntermediate
Overview
What a model is fitting, where it fails, and which problems are not machine learning problems.
- 9 lessons
- 12 min
- Intermediate
Curriculum
3 modules
- 1
What is being fit
- Examples, labels and features9 min
- Training versus the world9 min
- A baseline you must beat9 min
- 2
Where it fails
- Overfit and leakage9 min
- Groups the model never saw9 min
- Problems that are not models9 min
- 3
Explain lab
Includes hands-on lab- Describe a model in plain language9 min
- Name one way it could be wrong9 min
- Lab: a one-page model note14 min
Open sources & licenses
This curriculum is an original outline informed by these openly-licensed resources.



