What is the Difference Between Machine Learning and Deep Learning?
Hell guys, as you know, I’m Kindson the Genius and good to see you again! In this short lesson, I would explain to you the …
Hell guys, as you know, I’m Kindson the Genius and good to see you again! In this short lesson, I would explain to you the …
Hello everyone, as you know, I’m Kindson The Genius. I would like to share with you these 20 cool Machine Learning and Data Science Concept …
You could also learn Difference Between Machine Learning and Deep Learning. This tutorial follows from Tutorial 1 where you downloaded your dataset, setup the Visual studio solution …
Hello everyone, as you know, I’m Kindson The Genius. I would like to share with you these 20 cool Machine Learning and Data Science Concept …
In this simple tutorial, I would explain the concept of Principal Components Analysis (PCA) in Machine Learning. I would try to be as simple and …
Hello friend, I’ll like to share with you this brief explanation of the difference between Prediction and Inference. They appear similar, to us researchers and …
I have made a list of this 10 research paper I believe very student and researcher in area of Artificial Intelligence and Machine learning must …
I still cry when I remember what I lost in the in Nigeria couple of months before I relocated to Budapest. It’s a very long …
Hell guys, as you know, I’m Kindson the Genius and good to see you again! In this short lesson, I would explain to you the …
So much changes is taking place in the field of programming. Easy to Learn and Free 1. Python 2. R Programming 3. MatLab Script 4. …
My name is Kindson The Genius and today, I would introduce you to Machine Learning using .Net. Yes, .net C# programmer can now develop Machine …
Hello, my name is Kindson. One fact we must all appreciated is that in the next few years, Machine Learning or related courses would gradually …
Hello good to see you! My name is Kindson The Genius and I would give you a brief explanation of these top 10 technology trends …
Today, I would give a very simple explanation of the concept of linear separator and hyperplane. This is would be a very basic and simple, …
In this lesson, we are going to examine classification in machine learning. Below are the topics we are going to cover in this lesson Formulation …
In this lesson we are going discuss clustering under the following topic: Introduction to Clustering Formalized Definition of k-Means Clustering 1-of-K Coding Scheme The Expectation …
This lessons explains in simple terms how to minimize expected loss during classification.Remember that when an input variable is classified wrongly, a loss is incurred. …
Remember that classification is a supervised learning concept that has to do with determining the the class a new input variable belongs.In trying to assign …
In this lesson, we would examine 3 approaches to classification. The first 2 would be based on the a priori knowledge of the probabilities. The …
I have made a list of the best 20 easy lessons of various topic of Machine Learning, Pattern Recognition and Artificial Intelligence. Watch the Machine …
Today we will discuss the difference between two important topic that appear similar in machine learning. Classification and Clustering I have decided to create this …
What is Maximum Likelihood(ML)? and What is Maximum Likelihood Estimation (MLE)?These is a very important concept in Machine Learning and that is what we are …
Today we will discuss the concept of Outlier Detection in Statistics and Machine Learning and we would focus on the techniques used. We would cover …
We would try to clearly explain the concept of a recommender system. What is a Recommender System A recommender system is a system that is …
In this lesson, you will learn about Bias/Variance Trade-off in Machine Learning. This is a concept in machine learning which refers to the problem of …
Today we would give a clear and simple explanation of Support Vector Machines. We would discuss the basics of support vector machines in very clear …
In this short lesson, we will discuss the concept of over-fitting in Linear Regression. For now I would assume you have a basic knowledge of …
Activation Functions play a very important role in Neural Network so understanding them is key to getting a clearer understanding on how neural networks work. …
Backpropagation is the learning algorithm used in neural networks and is a generalization of the least mean squares algorithm used in linear perceptron. Backpropagation requires …
In this lesson, we would examine the learning process in Neural Networks. Remember that a neural network is a classifier that could learn from a …
Today we will understand the concept of Perceptron. Basics of The PerceptronThe perceptron(or single-layer perceptron) is the simplest model of a neuron that illustrates how …
We are going to explain the basic concept of k-means clustering and the k-means clustering algorithm. Table of Content What is K-Means Clustering How it …
What really is machine learning? Let’s try to explain it in a way that everyone can easily understand and appreciate. Here we would define Machine …
More Detailed Video Explanation Here Video on How to Perform PCA in R here We would explain the concept of dimensionality reduction in a very …
Watch the video here. In this lesson we would examine the following topics What is Decision Theory Application of Decision Theory in Cancer Diagnosis The …
You need to have basic knowledge of AI. You don’t have to be a Tech Pro like me to understand the principles of AI. So, …
The term “Big Data” have become quite common in the field of modern Relational Database Management and Data Analysis and today there are so many …