Adjunct Instructor: GPH-GU 2338/3338 Machine Learning in Public Health
Tasks
- Address ethical considerations in machine learning
- Assess and reduce model bias
- Cover missing data handling
- Discuss data generating process assumptions
- Explain supervised and unsupervised machine learning algorithms
- Guide feature engineering
- Instruct model selection and evaluation
- Teach machine learning in public health
Perks/Benefits
- N/A
Skills/Tech-stack
Bias reduction | Data handling | Decision Trees | Ethical AI | Feature Engineering | Generalized Linear Models | K-Means | Linear Models | Machine Learning | Missing data | Missing data handling | Model Evaluation | Model selection | Neural Networks | Random Forests | Support Vector Machines | Vector machines
Education
Roles
Regions
Countries
States
Cities
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