Rayan Yassminh·Dec 26, 2025MATH for ML: When the World Changes but Your Model Does NotUnderstanding Data Shift in Machine Learning and how changing data breaks trained modelsA response icon2
InKinomoto AIbyDr. Walid Soula·Apr 25, 2025Layer Normalization in TransformersExplore Layer Normalization in Transformers and its role in stabilizing learning !
Sushmita Poudel·Nov 13, 2024Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate ShiftDeep Learning has revolutionized various fields, including computer vision to natural language processing, and many more. However, training…
InDev GeniusbyPeter Tettey Yamak·Sep 25, 2024Exploring Adaptive and Weighted Conformal Prediction Methods in the Presence of Covariate ShiftIn predictive modeling, especially with time series data, it’s important to not only predict accurately but also quantify uncertainty…
Shirish Hirekodi·Sep 22, 2024Distributional Shifts: How Data Drift Undermines Model Accuracy and What to Do About ItIntroduction
