Probablilty is the likelihood of the occurring of an event which makes it the mathematical framework that allows us to analyse the situation by getting the chances of an event occurring like rolling a dice or tossing a coin. Now, there are many different ways to calculate the probability of an event occurring which makes it even more interesting to learn about. As we know probability is the measure of uncertainity which makes it even more understandable to use in uncertain events such as risk in financial transactions and many other business processes. Now, we know probability applies in machine learning but we need to know why. In our daily life we don’t get full complete information so we have to make decisions with incomplete information thus, we need a mechanism to help us quantify this uncertainity which probability provides us and makes our daily life easier. Hence, probability is undeniably a pillar of the field of machine learning and many recommend it as a prerequisite topic to study prior to begin learning deeply in machine learning.
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