Machine Learning 101 – Introduction to Probability Theory
by 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 …
Category: Machine Learning 101
Machine Learning 101 – Overfitting and Underfitting
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 …
Machine Learning 101 – Polynomial Curve Fitting
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 …
Machine Learning 101 – Equation for a Line and Regression Line
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 …
Machine Learning 101 – Simple Regression Problem
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 …
Machine Learning 101 – Classes of Machine Learning Problems
This is lesson 3 of Machine Learning 101. We are going to examine classes of machine learning problems. In Lecture 2 we already mentioned a …
Machine Learning 101 – Overview of Machine Learning and Some Basic Terms
The is lesson 2 of our Machine Learning 101 course. This follows from Lesson 1. We would cover the following: The Goal of Machine Learning …
Machine Learning 101 – Introduction to Machine Learning Course
This is the very first of a complete Machine Learning course . So if you intend to learn Machine Learning, then you are in the right place. …