### 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 …

Read More
Skip to content
# Data Science

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

### Machine Learning 101 – Application of Bayes’ Theorem

### Machine Learning 101 – Introduction to Probability Theory

### Machine Learning 101 – Overfitting and Underfitting

### Machine Learning 101 – Polynomial Curve Fitting

### Machine Learning 101 – Equation for a Line and Regression Line

### Machine Learning 101 – Simple Regression Problem

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

### Conditional Probability – Introduction to Bayes’ Rule

### Conditional Probability – Multiplication Law

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 …

Read MoreIn 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 given marginal probability. Lets’ now …

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 MoreRemember that in the previous lecture (Lecture 6), we discuss polynomial curve fitting. We kind of saw that the relationship in a dataset can be represented using a polynomial of …

Read MoreThis 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 is simply a follow up …

Read MoreLet’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 two variables. The record is …

Read MoreThis is Lecture 4 of the Machine Learning 101. It follows from Lecture 3. In this lecture, we would solve some regression problems. So brace up! First, What is Regression? …

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 More