6 034 Tutorial Bayesian Inference Part 2

Summary

In this video, we continue studying the basics of Recitation for 6.034 Artificial Intelligence at MIT, Fall 2016 Subtopics covered: 1. Probability - Variables vs. events - Joint, marginal ... Lecture Number 7 of the Complete Machine Learning series by Nando de Freitas, Univeristy of British Columbia. This recitation continues the coverage of Brief discussion of the interpretation of Table of Contents (powered by videoken.com) 0:00:00 Kernel Quiz (by default, x, x' X, with A' a nonempty set 0:05:06 ... Description: In this video, Konrad Kording explains the concept of “Expected Loss”, the key to finding the optimal estimate under a ...