Simona Maggioindata from the trenchesQuantum Leap: Beyond the Limits of Machine LearningQuantum Computers as AI AcceleratorsFeb 1Feb 1
Simona Maggioindata from the trenchesActive Sampling: Data Selection for Efficient Model TrainingEven for enthusiastic ML practitioners convinced that the more data the better, sometimes datasets are just too big for a one-shot…Jul 27, 2023Jul 27, 2023
Simona Maggioindata from the trenchesML Models on a Data DietHow Training Set Size Impacts PerformanceJul 13, 2023Jul 13, 2023
Simona Maggioindata from the trenchesWhy Is My Data Drifting?Your data has drifted, and you now need to determine the source of the drift. This can be achieved leveraging interpretability techniques.Nov 24, 2020Nov 24, 2020
Simona Maggioindata from the trenchesTowards Reliable ML Ops with Drift DetectorsDetecting drift is critical in the monitoring of deployed models. So, how do we efficiently detect data drift ?Jul 16, 2020Jul 16, 2020
Simona Maggioindata from the trenchesThe Learning Rate Black MagicEvaluation of the Learning Rate FinderMar 26, 2020Mar 26, 2020