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 …
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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 …
In the previous lesson (Lesson 9), we derived Bayes theorem. So let’s write it out: Also recall that Bayes’ theorem helps us find conditional probabilities …
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 …
Remember that in the previous lecture (Lecture 6), we discuss polynomial curve fitting. We kind of saw that the relationship in a dataset can be …
This is Lecture 6 of Machine Learning 101. We would discuss Polynomial Curve Fitting. Now don’t bother if the name makes it appear tough. This …
Let’s go back to the regression problem we solved in Lecture 4. We are given a dataset. You need to find the relationship between the …
This is Lecture 4 of the Machine Learning 101. It follows from Lecture 3. In this lecture, we would solve some regression problems. So brace …
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 …
Bayes Rule is based on Conditional Probability which we have been discussing in the previous 3 lessons. Conditional Probability – Basics Conditional Probability – Multiplication …
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. …