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Concepts covered in this lecture : Taken from Prof. Ravindran's Introduction to Machine Learning course, this tutorial aims to give a refresher on the basic concepts of probability that we will be making use of in the upcoming lectures. Topics covered in the first part include introductory concepts such as sample space, events, probability measure, conditional probability, Bayes' rule, etc. You are encouraged to go through additional resources for any topic covered here that you don't feel comfortable with, since the aim of this tutorial is to recap important topics and not go into any concept in great detail.

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