### 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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# Probability Theory

### Basics of Bayesian Inference

### Machine Learning 101 – What is Probability Density?

### Machine Learning 101 – Introduction to Probability Theory

### Conditional Probability – Application of Bayes’s Rule

### Conditional Probability – Introduction to Bayes’ Rule

### Conditional Probability – Multiplication Law

### Conditional Probability – Basics

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 …

Read MoreBy 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 …

Read MoreAs 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 …

Read MoreIn 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 …

Read MoreBayes 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 …

Read MoreIn 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 …

Read MoreI 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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