InTDS ArchivebyLeon SickTwo Simple Ways To Measure Your Model’s UncertaintyThe key to better understanding your model’s predictionsDec 28, 20211Dec 28, 20211
Intech-at-instacartbyMathieu RipertHow Instacart delivers on time (using quantile regression)How quantile regression is used to manage variance and ensure on-time deliveries.Mar 6, 20185Mar 6, 20185
Mohsen Moarefdoost, Ph.D.An Overview of Common Optimization Approaches Under UncertaintyWhen I learned optimization models and algorithms such as Linear and NonLinear programs, Simplex algorithm, Newton and Quasi-newton…Oct 16, 20181Oct 16, 20181
InTDS ArchivebyCassie KozyrkovWhat does “uncertainty” mean?The nuanced differences between risk, uncertainty, and ambiguityMar 19, 20203Mar 19, 20203
Vidit BhatiaA beginner’s guide to Tensorflow Probability using Mixture Density Network (TF2.0 Eager Execution)A good starting point for someone who wants to learn Probabilistic modelling using TF. The tutorial does not assume any prior knowledgeApr 26, 20201Apr 26, 20201
InTDS ArchivebyDr. Oliver BorchersA Hitchhiker’s Guide to Mixture Density NetworksAssessing the uncertainty of predictions is elementary for business decisions. Mixture density networks help you to better understand the…Feb 15, 20193Feb 15, 20193
InTDS ArchivebyAleksander MolakModeling uncertainty in neural networks with TensorFlow ProbabilityPart 1: An introductionNov 3, 20213Nov 3, 20213
InTDS ArchivebyMichael BerkHow to Handle Uncertainty in ForecastsA deep dive into conformal prediction.Sep 8, 20213Sep 8, 20213
InTDS ArchivebyVianney TaquetWith MAPIE, uncertainties are back in machine learning !Presenting MAPIE, a scikit-learn-compatible package that allows you to easily estimate uncertainties associated with your favourite ML…Aug 26, 20212Aug 26, 20212
