Published inTDS ArchivePropensity Scores and Inverse Probability Weighting in Causal InferenceA global overviewFeb 1, 2021Feb 1, 2021
Published inTDS ArchiveWhat to expect from a causal inference business project: an executive’s guide IIIPart III: Where causal inference stands in the current AI, Big Data, Data Science, Statistics, and Machine Learning scene?Sep 12, 2019Sep 12, 2019
Published inTDS ArchiveWhat to expect from a causal inference business project: an executive’s guide IIPart II: Which are the project key points you need to knowSep 12, 2019Sep 12, 2019
Published inTDS ArchiveWhat to expect from a causal inference business project: an executive’s guide IPart I: When do you need casual inference?Sep 12, 2019A response icon1Sep 12, 2019A response icon1
Published inTDS ArchiveSolving Simpson’s ParadoxUnderstand a key toy example in causal inferenceFeb 20, 2019A response icon3Feb 20, 2019A response icon3
Published inTDS ArchiveObserving is not interveningThis is the third post on a series about causal inference and data science. The previous one was “Use causal graphs!”.Dec 9, 2018Dec 9, 2018
Published inTDS ArchiveUse causal graphs!This is the second post of a series about causality in data science. You can check the first one: “Why do we need causality in data…Nov 19, 2018A response icon1Nov 19, 2018A response icon1
Published inTDS ArchiveWhy do we need causality in data science?This is a series of posts explaining why do we need causal inference in data science and machine learning. Causal inference brings a new…Nov 10, 2018Nov 10, 2018
