Anomaly Detection With Time Series Data: How to Know if Something is Terribly Wrong

Catherine Zhou, Codecademy

With the rise of streaming data and cloud computing, data scientists are often asked to analyze terabytes of data. The sheer amount of data available leads to a lag time in identifying irregularities, resulting in lost time and revenue. We can pinpoint these outliers through anomaly detection algorithms, which can be repurposed to monitor key metrics, website breakage, and fraudulent activity. I will demonstrate how we can build a system for anomaly detection to uncover blind spots in large datasets and reduce fire drills at work.

Видео Anomaly Detection With Time Series Data: How to Know if Something is Terribly Wrong канала Lander Analytics