Master Probability in Data Science: The Ultimate Crash Course! | Part 1 | CampusX

Hi, my name is Nitish, and you're welcome to my YouTube channel. In this video, we're going to cover a very special topic, and the topic 's name is Introduction to Machine Learning on Probability, or Crush Course on Probability on Machine Learning. So, the idea is very simple. You all know that maths plays a very

important role in machine learning, and mostly what we do is we focus more on statistics and we focus a lot on linear algebra. One topic that gets a little bit complicated, at least we don't cover it very thoroughly, is probability. So, I thought let's create a video where we cover all the basics of probability in 4 hours. So that

your foundation in probability is formed so that in the future, wherever you come across probability in machine learning, you can understand it well. So, that's the goal of this video. In fact, this video has become a bit long, so we divided this video into two parts. This is Crush Course Part One and

Probability and after this there will be another video Crush Course Part 2 on Probability. Okay, what all will we do? We will cover all the basic terms of probability. We will cover random variables. We will cover expected values. After that, we will cover types of probability. Conditional probability, independence probability, and Bayes' theorem.

So, we will try to cover whatever is there in probability that is related to machine learning. Obviously, there are a lot of things, but it is not possible to do everything. But I just want to know that when you complete these hours, then you will have a very solid base for machine learning related to probability.

Okay, so let's start this video. So, let's call this a