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.
Q-Q plots allow data scientists and other statisticians to graphically compare two probability distributions to determine normal distribution. Our expert explains how they work here.
B-tree is used for indexing and is a data structure that provides sorted data and allows searches, sequential access, attachments and removals in sorted order.
