Object Detection with the RaspberryPi
Use this docker container with Darknet on a RaspberryPi for object detection.
Use this docker container with Darknet on a RaspberryPi for object detection.
Gaussian Mixture Models (GMMs) are a way to model an empirical distribution of data with a mixture of Gaussians.
Learn how to estimate the expected values of a subset of variables given (or conditioned on) another subset with a conditional multivariate gaussian distribution.
Partial correlation, or conditional correlation, is a way to test for correlation between two variables, X and Y, given a third, Z. This technique is often useful in causal research when trying to discover confounding relationships.
Area Under the Curve (AUC) for the receiver operating characteristic (ROC) and precision-recall (PR) curves are two semi-proper scoring rules for judging classification performance of machine learning techniques. Understand how these curves are created and how to interpret them.
Latent Dirichlet Allocation (LDA) is a technique used in inferring topic models from documents. Go under the hood in understanding how LDA works.
Principal Component Analysis (PCA) is a technique to reduce features.