Using data science and machine learning for improved customer support

This post introduces the application of data science and machine learning to improve customer support and identify attack traffic. It details three specific techniques: improving language classification by considering multiple signals beyond off-the-shelf algorithms, optimizing fuzzy string matching for error message extraction using Cosine similarity for better performance, and developing a multi-dimensional data analysis approach with unsupervised clustering for identifying complex attack patterns like credential stuffing.