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AI Features

Posterior Distributions

Understand how posterior distributions update probabilities based on observations in both discrete and continuous scenarios. Learn to model coin fairness and estimate probabilities using C# techniques that combine prior beliefs with observed data to improve random sampling and inference.

Learn from Example

[It is] a spectacular vindication of the principle that each coin spun individually is as likely to come down heads as tails and ...