Concept

Gambler's fallacy

Related lectures (4)

Regression Analysis: Model Selection and Diagnostic Tools

Explores regression analysis tools, model selection, influential points, outliers, and diagnostic plots.

Explores Markov chains with absorbing classes through exercises on transition matrices and expected values.

Biases, ML performance and adversarial ML threats

Explores Machine Learning basics, adversarial conditions, privacy implications, and deployment challenges, highlighting biases and adversarial threats.

Dynamic Programming Recap

Covers a recap of dynamic programming and optimal betting strategy in a gambling problem.