As we discussed in the first part of this series, how you handle data outliers can determine whether your big data project ends with a bang or flames out in failure. But before you even decide what to ...
Robust estimation and outlier detection play a critical role in modern data analysis, particularly when dealing with high-dimensional datasets. In such contexts, classical statistical methods often ...
Within the finance industry, detecting rare events — or anomalies — in data is key to solving business problems that can have high monetary costs such as financial crimes detection and risk modeling.
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