Published inHeartbeatHow to Write Test Code for Data Science PipelineHow to write Pytest code for reliably testing your data science pipelineFeb 14, 2022A response icon3Feb 14, 2022A response icon3
Published inHeartbeatTime-Profiling Data Science CodeWhy and how to profile your data science codeFeb 3, 2022Feb 3, 2022
Published inTDS ArchiveExplainable AI and the Focus on Human Curiosityand concentrating on the top few factors and counterfactualsJan 24, 2022Jan 24, 2022
Published inTDS ArchiveData drift: It can come at you from anywhereThe concept of data drift is illustrated visually in various shapes and forms.Jan 19, 2022A response icon1Jan 19, 2022A response icon1
Published inTDS ArchiveThe Right Hardware for your AI workload —Unusual ConsiderationsWe point out a few less-mentioned and underrated features and inter-relationships to keep in mind while designing the best hardware…Jan 17, 2022Jan 17, 2022
Published inTDS ArchiveDon’t just fit data, gain insights tooA lightweight Python package can give you a lot of insights into your regression problems.Jan 13, 2022Jan 13, 2022
Published inTDS ArchiveHow AI can help smart city initiativesSome ideas for helping smart city initiatives, based on AI perception and citizen data sourcing.Jan 10, 2022A response icon1Jan 10, 2022A response icon1
Published inTDS Archive“Digital Twin” with Python: A hands-on exampleA step-by-step guide to building a digital twin example of an electronic switch (transistor) with Python.Dec 15, 2021A response icon5Dec 15, 2021A response icon5
Published inTDS ArchiveRegression in the face of messy outliers? Try Huber regressorOutliers in the data are ubiquitous, and they can mess up your regression problem. Try Hubber regressor to tackle this problem.Nov 4, 2021A response icon1Nov 4, 2021A response icon1
Published inTDS ArchiveSpearman coefficient: Tool for a generalized correlation analysisLinear relationships are not all a correlation analysis can reveal. We discuss rank-based correlation that is more generalized and…Nov 1, 2021Nov 1, 2021
