ML 101

Key Differences Between Unsupervised and Supervised Machine Learning

One of the earliest distinctions you may encounter in machine learning is that between “supervised” and “unsupervised” machine learning. The distinctions between these two types of learning are

What is the difference between ML and AI?

You can find yourself in the throes of some surprisingly contentious discussions depending on when and how you use the terms “machine learning” (ML) and/or “artificial intelligence” (AI). Rather than

What is the Best Programming Language for Machine Learning?

Python is the leading programming language for machine learning, however, if you come from a background of JavaScript, Java, C/C++ or R, you don’t need to immediately change to Python. This article

ML 101: Training Data

What is training data? Machine learning is all about using data to make smarter, faster, more accurate decisions and predictions. To accomplish this, we build models that understand both the subtle

What data should I use to train my model?

Figuring out what data you should use to train your model is very important and can sometimes feel a bit overwhelming. On the one hand, it can feel like you have troves of data and you don’t know