Data Science

• August 9, 2020: Causal Inference in Deterministic Systems
• May 10, 2020: Hamiltonian Monte Carlo in Tensorflow Probability
• April 25, 2020: Calculating Causal Effects
• April 5, 2020: Cause and Effect
• July 5, 2019: Bayesian A/B Testing
• June 21, 2019: Gradient Boosting
• June 16, 2019: Naive Bayes Classifier
• June 15, 2019: Bayes' Rule
• May 19, 2018: Inference via hidden causes
• November 10, 2017: The Binomial Distribution
• October 28, 2017: How to control Excel with Python
• October 28, 2017: Muscle Fiber Detection