WiDS Cambridge Datathon 2022
The WiDS Cambridge Datathon Workshop is an annual workshop preceding the WiDS Cambridge Conference. The workshop aims to provide mentorship and training for those interested in participating in the WiDS Datathon Challenge, and, more generally, anyone with a strong interest in data science.
Transforming and Manipulating Data
Topic 19: Encoding and Transforming Data
Topic 20: Pre-Processing Data
Topic 21: Sources of Bias in Model Interpretation and Usage
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Lecture Video:
(11:15 minutes) - Lecture Slides: Slides
- References:
- Dealing with Data Imbalance
- A Classification Procedure for Highly Imbalanced Class Sizes
- A Framework of Rebalancing Imbalanced Healthcare Data for Rare Event Classification
- Bias in Machine Learning: How Facial Recognition Models Show Signs of Facism, Sexism, and Ageism
- Machine Bias
- Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification
- Concept Quiz: Quiz
