Bot filtering using statistics and machine learning introduction
Effective bot filtering helps businesses improve data quality by identifying and removing unwanted traffic. This guide introduces the key concepts and techniques for detecting bot activity using SQL and machine learning.
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Key topics covered
The document provides guidance on:
- Understanding and identifying bot activity patterns
- Using SQL to filter bot traffic based on defined thresholds
- Implementing machine learning models to improve detection
- Evaluating and optimizing bot filtering strategies
Next steps
To explore detailed steps and examples, see the full guide.
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