Machine Learning History and Overview
In this post, I cover some basic concepts about Machine Learning. Machine Learning is not just a buzzword; it’s a force shaping the present and future of computing.
Category: Blog
What is Mean Squared Error (MSE)?
This article explains the fundamentals of MSE, starting with its definition and delving into its applications, advantages, and limitations.
Why should you use R-Squared?
This article aims to review R-squared, starting with its definition and delving into its applications, advantages, and limitations.
What is the Difference Between R-squared and Adjusted R-squared?
R-squared and Adjusted R-squared are valuable tools for assessing the quality of regression models, but they serve different purposes and are applied in distinct scenarios.
What is Variation and Standard Deviation?
In this article, we will explore what variation is, delve into the concept of standard deviation, and discuss the relationship between these two ideas.
Combinatorics Problems and Solutions
Combinatorics, a branch of mathematics dealing with counting and arranging objects or events, offers intriguing problems that require creative thinking and careful analysis to solve.
Combinatorics: Unlocking the Secrets of Counting and Probability
Combinatorics, a branch of mathematics that deals with counting, arrangements, and selections, is a powerful tool in the world of probability and statistics.
Normal and Non-Normal Distributions
In this article, we will explain what a normal distribution is, how it differs from a non-normal distribution, and the techniques used to transform a non-normal distribution into a normal one.
Understanding the Binomial Distribution
In this article, we will delve into what the binomial distribution is, its historical origins, how to calculate it, and when it should be used.