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A Note of Bayes’ Theorem

Introduction

Recently, I’ve been trying to organize the papers on accelerated reasoning techniques I’ve read over the past year into notes. During this process, I came across Bayesian optimization techniques that utilize Bayes’ theorem, so I decided to write a note to record the essence of Bayes’ theorem.

In simple terms, Bayes’ theorem is a frequently encountered theorem in probability theory that describes the probability of a random event occurring under specific conditions.

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Note Of Newton Polynomial

Newton’s interpolation is a polynomial interpolation method that constructs a set of polynomial functions using multiple data points. A major advantage is that with the addition of new data, Newton’s interpolation method does not require recalculations from scratch but can instead expand on the existing function.

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