history.md

1. install python, jupyterlab

2. python problem solving jungol.co.kr

3. probability densities

   • gaussian, binomial, Bernoulli, uniform
   • random sample generation with numpy.random

4. visualization by matplotlib

5. data exploration

   • iris data scatter plots & histograms
     • try to plot one figure having 4 histograms for the features,
       • use alpha and density
       • compute frequency using numpy.histogram()

6. multivariate gaussian

   • sample generation
   • 2D plot for a skewed distribution samples
   • PCA

7. Bayesian primer

   • sum rule, product rule (Bishop)
   • fair coin problem