July 26, 2022, 2:24 p.m. | Srikanth Machiraju

Towards Data Science - Medium towardsdatascience.com

Photo by Rupert Britton on Unsplash

Identify issues in telemetry data proactively using a simple approach

Anomaly detection plays a key role in many domains, especially in finance and health care. Identifying anomalies in financial transactions proactively helps in avoiding huge losses. Similarly, in health care, it helps in identifying health risks early in the diagnosis. This blog focuses on a simple form of Anomaly Detection (AD) using Principal Component Analysis (PCA). We will apply the algorithm to a well-known …

analysis azure data principal-component telemetry telemetry data

Founding AI Engineer, Agents

@ Occam AI | New York

AI Engineer Intern, Agents

@ Occam AI | US

AI Research Scientist

@ Vara | Berlin, Germany and Remote

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Codec Avatars Research Engineer

@ Meta | Pittsburgh, PA