Category: Data Science

In the previous blog, I discussed the impact of Machine Learning (ML) in our current world. We ended with two questions: 1. In this brave new world of AI and machine learning (ML), how do we operate? 2. As individuals, groups, businesses, and governments, how do we navigate a landscape filled with ML? We need to understand what we’re working with before we can plan how to move forward. This blog will dive into some of the machinery that makes AI and machine learning work.

For the purposes of this blog, we’re going to be focusing in on machine learning (ML), a subset of AI that focuses on understanding and building methods that let machines “learn”: training data is leveraged by algorithms to improve the performance of models. These models can describe anything that you are trying to predict or classify based on underlying characteristics.