Decision biases & Information
- confirmation bias, short-term emotions
- narrow framing, availability bias
- overconfidence
Designing the experiment
- the form of a good hypothesis
- the choice of quantization levels
- the A/B testing method
- repeatable experiments
- reproducible experiments
Implementing the experiment
- Big Data and the four Vs
- collecting and storing the data
- cleaning the data
- analysing and quantizing the data
- the tool of data visualisation
Mathematical statistics
- the choice of samples
- the construction of histogram
- Shannon's entropy, KL-divergence
- the strengths of Bayesian statistics
- likelihoods, priors, posteriors
Decision theory
- mathematical optimization
- decision trees
- dynamic programming