PinnedGeorgi TancevData-Driven Chemical Process DesignSpeeding up chemical process development with data science.Sep 25, 20231Sep 25, 20231
PinnedGeorgi TancevinTowards Data ScienceBlack-Box Chemical Process OptimizationRelying on decision support for which experiment to perform next.Oct 24, 20231Oct 24, 20231
PinnedGeorgi TancevinTowards Data ScienceModel-Free Reinforcement Learning for Chemical Process DevelopmentMoving towards chemical process agents.Jul 11, 20231Jul 11, 20231
Georgi TancevinTowards Data ScienceBlind Calibration of Sensor NetworksAlgorithms that keeps your sensor networks calibrated.Jul 20, 2023Jul 20, 2023
Georgi TancevinTowards Data ScienceAn Introduction to Kernel MethodsFrom kernel-density estimators to non-parametric regressions.Apr 9, 2021Apr 9, 2021
Georgi TancevinTowards Data ScienceRobust Covariance for Anomaly DetectionDetecting anomalies and outliers by means of the Mahalanobis distance.Dec 22, 2020Dec 22, 2020
Georgi TancevinTowards Data ScienceAn Introduction to Design of ExperimentsGenerating representative experimental data.Nov 13, 2020Nov 13, 2020
Georgi TancevinTowards Data ScienceA Concise Guide to Statistical Hypothesis TestingThe frequentist approach to statistical inference.Aug 12, 2020Aug 12, 2020
Georgi TancevinTowards Data ScienceUncertainty Assessment of Predictions with Bayesian InferenceAn introduction to computational Bayesian statistics.Apr 11, 20201Apr 11, 20201
Georgi TancevinTowards Data ScienceBayesian Neural Networks with TensorFlow ProbabilityA step by step guide to uncertainty prediction with probabilistic modeling.Jan 31, 20206Jan 31, 20206
