Roadmap
Machine Learning Roadmap
Learn the practical loop of data, models, metrics, and deployment.
01
Data
Understand the dataset before the algorithm.
- Cleaning
- Features
- Splits
02
Training
Build and compare models against baselines.
- Loss functions
- Metrics
- Validation
03
Serving
Deploy models with monitoring.
- APIs
- Batch jobs
- Drift
04
Proof
Show repeatable improvement over a baseline.
- Experiment log
- Model card
- Monitoring plan
Readiness evidence
- Completed project
- Explainable trade-offs
- Practice under realistic constraints
Related learning
Turn this into today's learning plan.
Roe turns an outcome into the next useful lesson, then checks and reviews what sticks.
