We use cluster analysis in machine learning, image analysis, data mining and pattern recognition. Here’s how it works and when you’ll find it most useful.
MobileNet is a mobile-first class of CNN that was open-sourced by Google and provides a starting point for training classifiers through a lightweight model.
Monte Carlo simulations are a tool we use to predict the probability of various outcomes in a process that’s difficult to assess due to random variables. Here’s how to perform one yourself.
Mahalanobis Distance is an effective distance metric that finds the distance between a point and a distribution. It’s very effective on multivariate data.
We use sentiment analysis to gain insights into a target audience’s feelings about a particular topic. Here are the basics of sentiment analysis types and techniques.
