Few-shot learning is a machine learning framework where an AI model is given a small amount of labeled training data to learn from. Here’s how few-shot learning works and why it’s important.
Follow along with this machine learning for beginners tutorial, which walks through the basics of classification and regression algorithms and how to build a machine learning model in Weka.
A covariance matrix is a square matrix that shows the covariance between every pair of variables in a given data set, where each element in the matrix represents the corresponding covariance.
Optical character recognition is a technology that allows a computer to convert scanned data into editable, searchable text. Our expert explains what you need to know.
K-nearest neighbor (KNN) is an algorithm that is used to classify a data point based on how its neighbors are classified. Here’s what you need to know.
In this four-part series, I’ll show you how the Markov decision process works and the mathematical theory you need to know to understand deep reinforcement learning.
