Category: Artificial Intelligence

Introduction Brief overview of the blog post Hello, fellow engineers! Looking to dive into the magic behind clustering in machine learning? Well, then you’ve come to the right place! In this post, we’re going to deep-dive into the colorful realm of K-means clustering, a powerful algorithm that might look deceptively simple but hides a beastly […]

Let’s chat about one of the most fundamental techniques in machine learning and statistics – Linear Regression, which forms the backbone of many advanced techniques, so it’s a great place to start. Understanding the Basics Linear Regression is like the Swiss Army knife of statistics. It’s a predictive modeling technique that finds the best-fitting straight […]

Let’s talk about regularization in machine learning, a really handy concept that helps us build better predictive models. In machine learning, we’re often trying to make predictions based on data. For example, we might want to predict the price of a house based on its size, location, and other factors. To do this, we build […]

Yo! Let’s talk about the different types of machine learning we’ve got out there. We’re gonna break it down based on the level of supervision the algorithms receive during training. This is called Supervised/Unsupervised Learning. Here are the four main categories: Supervised Learning: This is when the training data comes with labels, which are basically […]