May 2024
Beginner to intermediate
452 pages
11h 32m
English
In the diverse ecosystem of data analysis, one of the most intriguing yet complex areas you will encounter is anomaly detection. It’s a challenging task but crucial, as anomalies often signify critical events, such as potential fraud, system errors, or business trends that could impact decision-making.
Throughout this chapter, we’ll navigate through the intricacies of identifying these anomalies, honing our focus on how to handle different data types, including low-frequency data. Our exploration will range from understanding the fundamental nature of an anomaly to implementing a variety ...