🔬Research
🔬
ML Research Methodology
Learn the scientific method applied to machine learning research
Recommended for:🔬ML Researcher
Prerequisites
🌱
Beginner
BeginnerResearch fundamentals
What to Learn
- •Forming research questions
- •Hypothesis generation and testing
- •Experiment design basics
- •Statistical significance in ML
- •Documenting research
Resources
- 📚Research Methods for ML (videos)
- 📚Statistical testing for ML papers
- 📚Lab notebook practices
🌿
Intermediate
IntermediateRigorous experimentation
What to Learn
- •Baseline selection and comparison
- •Ablation study design
- •Handling randomness and reproducibility
- •Computational resource planning
- •Writing experiment code
Resources
- 📚ML Reproducibility Checklist
- 📚Weights & Biases experiment tracking
- 📚Good research practices papers
🌳
Advanced
AdvancedResearch leadership
What to Learn
- •Identifying impactful problems
- •Building research narratives
- •Collaboration and review
- •Research ethics in AI
- •Publishing and presentation
Resources
- 📚How to do research (Hamming)
- 📚Writing papers (Pinker, Strunk)
- 📚Conference presentation guides