A Gaussian mixture model is a soft clustering machine learning method used to determine the probability each data point belongs to a given cluster. Learn more.
Unsupervised clustering is an unsupervised learning process in which data points are put into clusters to determine how the data is distributed in space.
Supervised learning is an approach to machine learning that uses labeled data sets to train algorithms in order to properly classify data and predict outcomes.
Data labeling is a crucial step for supervised machine learning algorithms. Here’s what you need to know about data labeling methods, advantages and best practices.
