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 ...
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. ...
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 ...
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 ...
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 ...
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 ...
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: ...
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 ...
Basics of Genetic Algorithm – GA (Explained in Simple Terms)
We would examine the basics of Genetic Algorithm and dive a little deeper into the actual steps in genetics algorithm ...
PCA Tutorial 2 – How to Perform Principal Components Analysis (PCA)
Now you know some theories about Principal Components Analysis (PCA) and now we are going to go through how to ...
20 Cool Machine Learning and Data Science Concepts (Simple Definitions)
Hello everyone, as you know, I'm Kindson The Genius. I would like to share with you these 20 cool Machine ...
PCA Tutorial 1 – Introduction to PCA and Dimensionality Reduction
PCA is one of the concepts that many find a bit tough to grasp. I had the same issue, but ...
Simple Linear Regression in Machine Learning (A Simple Tutorial)
In this tutorial we would cover Simple Linear Regression in a very easy-to-understand way. We are assuming you don’t have ...
Support Vector Machines in Machine Learning ( A Simple Tutorial)
Just as you know, I would try to explain Support Vector Machines (SVM) in a vary simple and clear way ...
10 Machine Learning Project (Thesis) Topics for 2020
Are you looking for some interesting project ideas for your thesis, project or dissertation? Then be sure that a machine ...
Simple Explanation of Tensors 1 – An Introduction
I have spent some time trying to understand tensors but I have spend more time trying to find an simple ...
What is Principal Component Analysis (PCA) – A Simple Tutorial
In this simple tutorial, I would explain the concept of Principal Components Analysis (PCA) in Machine Learning. I would try ...
Difference Between Prediction and Inference in Machine Learning
Hello friend, I'll like to share with you this brief explanation of the difference between Prediction and Inference. They appear ...
Top 10 Free Machine Learning Papers Every Student Researcher Must Read
I have made a list of this 10 research paper I believe very student and researcher in area of Artificial ...
How I Lost My Programming and Machine Learning Research Studio in Nigeria
I still cry when I remember what I lost in the in Nigeria couple of months before I relocated to ...
