Research Methods
Design rigorous ML experiments — ablation studies, statistical testing, benchmarking.
0%
Confidence · no data yet
After this skill you can…
- Design ablation studies
- Apply statistical significance tests to results
- Write a reproducible experiment section
Prerequisites
Watch (10 videos)
Inaugural Lecture: Juliane Reinecke
→ Conduct prospective-oriented research→ Develop new methodological tools and approaches
Mechanics of Materials III: Beam Bending
→ Analyze beam bending problems→ Design solutions for mechanics of materials
SANS Live Online Interactive Remote Lab and Range Demo – SEC599: Defeating Advanced Adversaries
→ Conduct research on cybersecurity threats→ Design lab exercises to detect and defend against threats
Hands-On Learning: How and Why You Should Build a Home Lab
→ Design a home lab→ Conduct low-risk experiments→ Analyze results and improve techniques
Research Instruments and Research Hypotheses
→ Develop a research instrument→ Design a questionnaire→ Test a research hypothesis
Framework for Data Collection and Analysis
→ Identify data sources for research→ Create an analysis plan for a study
Data Science Methodology
→ Apply Data Science Methodology to real-world projects→ Conduct research using CRISP-DM
LeRobot – Lowering the entry barrier to AI for robotics
→ Explore LeRobot library→ Apply robotics research methods
Making Public Policies Work: The Last-mile Delivery
→ Design effective public policies→ Conduct research for policy creation
Observational Methods and Qualitative Data Analysis
→ Conduct participant observation→ Analyze qualitative data
Read (10 articles)
📄
DeepCamp AI