jetbrains.com - Cheuk Ting Ho
How do you identify unusual patterns in data that might reveal critical issues or hidden opportunities? Anomaly detection helps identify data that deviates significantly from the norm. Time series data, which consists of data collected over time, often includes trends and seasonal patterns. Anomalies in time series data occur when these patterns are disrupted, making anomaly detection a valuable tool in industries like sales, finance, manufacturing, and healthcare.As time series data has unique characteristics like seasonality and trends, specialized methods are required to detect anomalies effectively. In this blog post, we’ll explore some popular methods for anomaly detection in time series, including STL decomposition and LSTM prediction, with detailed code examples to help you get started.
expectinggoals.com - Michael Caley
The core of the piece is an overview of the many ways that Barcelona and Chelsea have attempted to hide their year-over-year losses via financial tricks and accounting maneuvers, and how they have ultimately been successful in evading consequences from their leagues’ financial regulators.
