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Importance Sampling 📂Machine Learning

Importance Sampling

Overview1

Importance sampling is one of the Monte Carlo methods, a sampling trick that can be used when approximating an integral (expectation) with a finite sum.


  1. Christoper M. Bishop, Pattern Recognition annd Machine Learning (2006), p532-534 ↩︎