PinnedData-Driven Chemical Process DesignSpeeding up chemical process development with data science.Sep 25, 20231Sep 25, 20231
PinnedPublished inTDS ArchiveBlack-Box Chemical Process OptimizationRelying on decision support for which experiment to perform next.Oct 24, 20231Oct 24, 20231Get an email whenever Georgi Tancev publishes.SubscribeBy signing up, you will create a Medium account if you don’t already have one. Review our Privacy Policy for more information about our privacy practices.Medium sent you an email at to complete your subscription.
PinnedPublished inTDS ArchiveModel-Free Reinforcement Learning for Chemical Process DevelopmentMoving towards chemical process agents.Jul 11, 20231Jul 11, 20231
Published inTDS ArchiveBlind Calibration of Sensor NetworksAlgorithms that keeps your sensor networks calibrated.Jul 20, 2023Jul 20, 2023
Published inTDS ArchiveAn Introduction to Kernel MethodsFrom kernel-density estimators to non-parametric regressions.Apr 9, 2021Apr 9, 2021
Published inTDS ArchiveRobust Covariance for Anomaly DetectionDetecting anomalies and outliers by means of the Mahalanobis distance.Dec 22, 2020Dec 22, 2020
Published inTDS ArchiveAn Introduction to Design of ExperimentsGenerating representative experimental data.Nov 13, 2020Nov 13, 2020
Published inTDS ArchiveA Concise Guide to Statistical Hypothesis TestingThe frequentist approach to statistical inference.Aug 12, 2020Aug 12, 2020
Published inTDS ArchiveUncertainty Assessment of Predictions with Bayesian InferenceAn introduction to computational Bayesian statistics.Apr 11, 20201Apr 11, 20201
Published inTDS ArchiveBayesian Neural Networks with TensorFlow ProbabilityA step by step guide to uncertainty prediction with probabilistic modeling.Jan 31, 20206Jan 31, 20206