Basics of Bayesian Inference
Bayesian Inference is simply a way of making statistical inference by applying Bayes’ Theorem. Assuming there is a particular hypothesis H. Let the probability of this hypothesis be p(H). According …
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Machine Learning 101 – What is Probability Density?
By now, you probably understand probability as well as probability theory. You also know about the Sum Rule and Product Rule. Then you also understand Bayes’ theorem from Lesson 9 …
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Machine Learning 101 – Introduction to Probability Theory
As you already know, one of the four basic theories of Machine Learning is the Probability Theory. Or simply, Probability. And this is one challenge of Machine Learning. Big words …
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Conditional Probability – Application of Bayes’s Rule
In the previous lesson(Introduction to Bayes’ Rule), we saw how Bayes’ Rule can be applied to medical diagnosis. So in this chapter, we would see how Bayes’ Rule applies to …
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Conditional Probability – Introduction to Bayes’ Rule
Bayes Rule is based on Conditional Probability which we have been discussing in the previous 3 lessons. Conditional Probability – Basics Conditional Probability – Multiplication Law Conditional Probability – Law …
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Conditional Probability – Multiplication Law
In this short lesson we would understand how to use the Multiplication Law in Conditional Probability. You may want to review Basics of Conditional Probability. The Multiplication Law helps us …
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Conditional Probability – Basics
I assume you have a basic knowledge of Probability. For example, if there a 3 red ball and 2 blue balls in a bag and someone picks on ball at …
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