Probability vs Likelihood | Machine Learning Interview Question
CampusX · 2,164 words · 11 min read · EN

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So what are we going to do first? We are going to answer a very important question and the question is what is the difference between likely tail and probability. It is a very common question. Once you search on YouTube, you will go to see videos from across the board. The only problem with this topic is this
very conjuring and quite confusing. So what I have thought is that I will not tell you the definition first, I will first give you some examples and once you see those examples, then I will tell you the definition of what probability is. For the
first example, we have a coin and obviously flipping the coin is our random experiment, so you also know that either heads will come up or tails will come up. And the coin we have, that is, the probability of heads coming up in this coin is point five.
If someone asks you, tell me brother, if the coin is tossed once, what is the probability of tails coming up,
then The probability of getting a tail automatically is a simple thing.
How is it very simple? You can use its probability distribution. If I ask you a simple question, I really hope you can answer this question. This is a random experiment where we are flipping a coin and there are only two possible outcomes, heads and tails. So, can you tell me which distribution will this experiment follow? Just I would like to tell you
what you guys think. It is correct, it is very simple. You know that it will follow the Bernoulli distribution. Okay, where the output of an experiment in one trial is binary,
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