Designing the experiment
- the form of a good hypothesis
- the preliminary choice of quantization levels
- repeatable experiments
- reproducible experiments
- the A/B testing method
Implementing the experiment
- the four Vs of Big Data
- collecting, storing and cleaning the data
- quantizing the data
- the tool of data visualisation
- the choice of samples
Mathematical Statistics
- primitive events, counting principles
- probability, Probability Mass Functions, frequencies
- Shannon's entropy, KL-divergence
- orthodox statistics, Bayesian statistics
- likelihood, prior, posterior