George ChenAutomated Allowlisting and Optimization of High-Volume Alerts for SecOps EfficiencyOne of the top-ranked problems of SecOps alerting is dealing with the amount of noise generated by false positives (FP) while keeping a…Oct 13
InHuman PartsbyEileen PollackThe C-Word Maybe Should be “Could”Are Doctors Too Nonchalant about Pronouncing a Dreaded Diagnosis?Mar 3110
Akhil ChhibberBest Practices to Avoid False Positives in Deep Learning based Deforestation DetectionDetecting deforestation accurately is a critical task, especially when using deep learning models and satellite imagery e.g. Sentinel-1…Jun 10Jun 10
Pramod KumarHandling False Positives in Model Outputs: Building Inference InsightsAs I continue my journey towards transitioning into a Data Science Manager, I’ve been diving deep into the challenges of machine learning…Oct 3Oct 3
Georgi GeorgievFalse Positive Risk in A/B TestingHave you heard how there is a much greater probability than generally expected that a statistically significant test outcome is in fact a…Apr 19, 2023Apr 19, 2023
George ChenAutomated Allowlisting and Optimization of High-Volume Alerts for SecOps EfficiencyOne of the top-ranked problems of SecOps alerting is dealing with the amount of noise generated by false positives (FP) while keeping a…Oct 13
InHuman PartsbyEileen PollackThe C-Word Maybe Should be “Could”Are Doctors Too Nonchalant about Pronouncing a Dreaded Diagnosis?Mar 3110
Akhil ChhibberBest Practices to Avoid False Positives in Deep Learning based Deforestation DetectionDetecting deforestation accurately is a critical task, especially when using deep learning models and satellite imagery e.g. Sentinel-1…Jun 10
Pramod KumarHandling False Positives in Model Outputs: Building Inference InsightsAs I continue my journey towards transitioning into a Data Science Manager, I’ve been diving deep into the challenges of machine learning…Oct 3
Georgi GeorgievFalse Positive Risk in A/B TestingHave you heard how there is a much greater probability than generally expected that a statistically significant test outcome is in fact a…Apr 19, 2023
InTowards Data SciencebyIgor ŠegotaWhy and How to Adjust P-values in Multiple Hypothesis TestingP-values below a certain threshold are often used as a method to select relevant features. Advice below suggests how to use them correctly.May 5, 2023
CoursesteachUnderstanding Confusion Matrix in Machine Learning: Metrics, Examples, and Python Code-Supervised…📚Chapter:6- Measuring model performanceJul 16
