# 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