Published inData Science at MicrosoftCustomer retention (Part 2 of 2): Framework architectureBy Yasmin Bokobza, Sharath Kumar Rangappa, Swarnim Narayan, and Kiran RFeb 13, 2024A response icon1Feb 13, 2024A response icon1
Published inData Science at MicrosoftCustomer retention (Part 1 of 2): Understanding the fundamentalsCustomer Retention as a Service (CRaaS) as a unified and generic framework for both churn features and model buildingJan 30, 2024A response icon1Jan 30, 2024A response icon1
Published inData Science at MicrosoftHarnessing Deep Learning and low fidelity security insights to detect advanced persistent threats…Detecting advanced persistent threats formulated as multivariate anomaly detection using Deep Learning and security insightsDec 7, 2021Dec 7, 2021
Published inData Science at MicrosoftHarnessing Deep Learning and low fidelity security insights to detect advanced persistent threats…Detecting advanced persistent threats formulated as multivariate anomaly detection using Deep Learning and security insightsNov 9, 2021Nov 9, 2021
Published inData Science at MicrosoftTime series forecasting (Part 3 of 3): Introducing AUTS (Adaptive Univariate Time Series…By Yasmin Bokobza and Siddharth KumarApr 27, 2021A response icon3Apr 27, 2021A response icon3
Published inData Science at MicrosoftTime series forecasting (Part 2 of 3): Selecting algorithmsBy Yasmin Bokobza and Siddharth KumarApr 13, 2021A response icon1Apr 13, 2021A response icon1
Published inData Science at MicrosoftTime series forecasting (Part 1 of 3): Understanding the fundamentalsBy Yasmin Bokobza and Siddharth KumarMar 24, 2021A response icon2Mar 24, 2021A response icon2
