Network effects re-release: when the power of a public health measure lies in widespread adoption
Causal inference when you can't experiment: difference-in-differences and synthetic controls
Better know a distribution: the Poisson distribution
The Lottery Ticket Hypothesis
Interesting technical issues prompted by GDPR and data privacy concerns
Thinking of data science initiatives as innovation initiatives
Building a curriculum for educating data scientists: Interview with Prof. Xiao-Li Meng
Running experiments when there are network effects
Zeroing in on what makes adversarial examples possible
Unsupervised Dimensionality Reduction: UMAP vs t-SNE
Data scientists: beware of simple metrics
Communicating data science, from academia to industry
Optimizing for the short-term vs. the long-term
Using machine learning to predict drug approvals
Facial recognition, society, and the law
Lessons learned from doing data science, at scale, in industry
Varsity A/B Testing
The Care and Feeding of Data Scientists: Growing Careers
The Care and Feeding of Data Scientists: Recruiting and Hiring Data Scientists
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The Unbelivable Truth - Series 1 - 26 including specials and pilot
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