The idea of creating a virtual human that can converse seamlessly with a user seems daunting to most people who are just getting into artificial intelligence and looking into how utterly complex existing commercial systems are. And their fears aren’t misled - larger systems that contain a plethora of data…

Abstract — In machine learning and statistics, computing the accuracy, or loss, of a model is crucial for understanding the quality of the model and what improvements can be made to increase accuracy. Typically, researchers choose a loss function de- pending on their task, and this loss function runs over their test…

Seeing as you’ve come this far, you may have noticed that linear regression doesn’t seem to be the best model to use in more complex data, and that is because the model is so limited by its linear equation that it fails to distinguish categories if they are not linearly…

So now that you have some context as to what AI is and its history, we can begin jumping into the more interesting topics. In this article, I will show you how we can create our very first model: linear regression Linear regression is the idea of computing a trend…

Welcome back! I’m glad to see that you’re interested in continuing on this journey with me! However, before we get into all of the fun stuff, I thought that it would be useful for you all to understand where everything started. AI requires a social aspect, and therefore, it is…

Deep learning is a scary subject — at least that’s how it seems to a lot of people who don’t really understand the concept. See, deep learning and artificial intelligence has been one of the reasons why so many problems these days are being solved much quicker and better than…