Approximating Probability Distributions (II): Monte Carlo Methods (I) is Lecture 12 of the Course on Information Theory, Pattern Recognition, and Neural Networks. It is the one of the series of sixteen lectures covering the core of the book "Information Theory, Inference, and Learning Algorithms". A subset of these lectures used to constitute a Part III Physics course at the University of Cambridge. To learn more about this topic look up for the other parts of the course.

With more than 18,000 students from all walks of life and all corners of the world, nearly 9,000 staff, 31 Colleges and 150 Departments, Faculties, Schools and other institutions, no two days are ever the same at the University of Cambridge.

Suggested Courses

12 min

·

504

20 min

·

499

17 min

·

713

13 min

·

712