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Michael Slawinski
CrowdStrike Researchers Develop Custom XGBoost Objective to Improve ML Model Release Stability
Extreme Gradient Boosting (XGBoost) is a valuable tool for training machine learning (ML) classifiers, which often come with the problem of surprise false positives (FPs) and false negatives (FNs). Su[…]
How CrowdStrike Uses Similarity-Based Mapping to Understand Cybersecurity Data and Prevent Breaches
CrowdStrike data scientists describe a new similarity paradigm to organize information and make it accessible, searchable and mappable The new similarity-based mapping of cybersecurity data associates[…]
