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Stefan SilverinDataDrivenInvestorUnderstanding Domain AdaptationTransfer learning is a very well-known domain of machine learning, since it greatly reduces training costs and time, especially for neural…Dec 10, 20222Dec 10, 20222
LumiatainLumiataCross-Validation for Imbalanced DatasetsAnusha Mohan, Data ScientistMar 5, 20198Mar 5, 20198
Jeremy Behreandt3D Rotations in Processing (Vectors, Matrices, Quaternions)This tutorial introduces how to rotate objects in 3D beyond Euler angles; to do this, it looks at the basics of matrices and quaternions…Feb 5, 20183Feb 5, 20183
Jérôme VialinEmpathic LabsSkeleton Detection Using a VideoHow we want to extract emotions from a dancer’s moveMar 3, 2021Mar 3, 2021
Marcelo RovaiinTowards Data ScienceRealtime Multiple Person 2D Pose Estimation using TensorFlow2.xPose estimation is crucial in enabling machines to understand people in images and videos.Aug 3, 20202Aug 3, 20202
Adithya RamanathaninCapital One TechUnderstanding the Role of Dataset Shifts in Domain AdaptionResponsibly Advancing Data-Driven Decisioning in Machine LearningMar 8, 2019Mar 8, 2019
Kevin MusgraveCustomizing Domain Adaptation Algorithms with PyTorch AdaptDomain adaptation algorithms come in many forms. Some use a GAN architecture. Some require features from one domain, but not the other…Dec 7, 2021Dec 7, 2021