Introduction There is quite a bit of data buzzwords in the industry these days. Everything from big data to predictive analytics. But one phrase that I don’t hear as often…

Introduction Imagine you have a set of data that consists of two types of points. We will call them type A and type B. When you plot out the points…

Introduction AI is making its way into almost every sector of the economy. A sector that is involved in this AI revolution that will have the biggest impact today and…

Introduction Neural networks are really taking the world by storm. You hear a lot about them, and they are used in your daily life a lot – in fact, the…

Introduction Linear regression is talked about a lot. It is probably the first algorithm in machine learning people learn about. This is for good reason – it is easy to…

Introduction When training your model, you are bound to get errors – I mean that’s the whole point of training the model – to fix those errors. So how exactly…

Introduction Imagine you are a beginning data scientist. You are just starting out and don’t really know your way around the field yet. You then are asked to train a…

Introduction How does your machine learning algorithm actually know if it is a good or bad model? How does your machine learning model get the best accuracy for your dataset?…

Introduction We hear it every day – AI is going to take your job! Your job won’t exist within the next X years because of AI! Well is this really…

Introduction What do microwaves and the use of machine learning for businesses have in common? Well superficially not a lot – but they make a great analogy for the reason…