Anomaly detection is the process of finding items in a dataset that are different in some way from the majority of the items. For example, you could examine a dataset of credit card transactions to ...

Introduction to the text "Anomaly Detection with Python" This series is a detour copy-writing of the book "Anomaly Detection with Python" (Ohmsha, referred to as the "text"). The text was published in ...

Images make up a dominant share of data transmitted and stored online, and traditional compression methods struggle to keep pace with growing bandwidth and storage demands. This project targets that ...

Dr. James McCaffrey of Microsoft Research provides full code and step-by-step examples of anomaly detection, used to find items in a dataset that are different from the majority for tasks like ...