## 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 Learning and Data Science Concept …

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## 20 Cool Machine Learning and Data Science Concepts (Simple Definitions)

## What is Principal Component Analysis (PCA) – A Simple Tutorial

## Difference Between Prediction and Inference in Machine Learning

## Top 10 Free Machine Learning Papers Every Student Researcher Must Read

## What is the Difference Between Machine Learning and Deep Learning?

## ML.Net Tutorial 1: Introduction to Machine Learning in .Net (Beginner to Expert)

## 5 Schools to Earn Masters Degree in Machine Learning (Part-time and Online Learning) 2018/2019

## Brief Explanation of Top 5 Technology Trends You Should Know in 2019

## What is a Linear Separator? What is a Hyperplane? (Simple Explanation)

## How to Build Decision Tree for Classification – (Step by Step Using Entropy and Gain)

## Classification in Machine Learning

## Understanding Clustering (k-Means) in Machine Learning (Unsupervised Learning)

## 3 Approaches to Classification in Machine Learning

## What is the Difference Between Classification and Clustering in Machine Learning

## Maximum Likelihood Estimation (MLE) in Machine Learning

## Overview of Outlier Detection Techniques in Statistics and Machine Learning

## Introduction of Recommender Systems

## What is the Difference between Classification and Regression

## Introduction to Support Vector Machine (SVM)

## What is Over-fitting in Linear Regression and Machine Learning

## What is an Activation Function in Neural Networks

## Introduction to Gradient Decent in Neural Networks – Learn Machine Learning

## What is Perceptron? How the Perceptron Works

## What is K-Means in Clustering in Machine Learning?

## Dimensionality Reduction and Principal Component Analysis (PCA)

## Basics of Decision Theory – How Medical Diagnosis Apps Work

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 …

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 …

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, I would teach you how to build a decision tree step by step in very easy way, with clear explanations and diagrams. …

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 …

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 …

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 …

Today we will understand the difference between classification and regression. It would be a very short lesson but at the end it would be very …

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. …

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 …

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 …