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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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 represented using a polynomial of …
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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 is simply a follow up …
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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 two variables. The record is …
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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 up! First, What is Regression? …
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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 handwriting recognition problem. This is …
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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 How Machine Learning Works Handwritten …
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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. We would start from the …
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