PinnedPublished inAi-Ai-OHWhat Do The Robots Say About Us When We’ve Left The Building?A post-human water cooler conversationOct 15, 2024A response icon39Oct 15, 2024A response icon39
PinnedPublished inModern WomenExperts Are Not Other PeopleGiving yourself permission to be an expertJun 27, 2024A response icon27Jun 27, 2024A response icon27
Published inData Science CollectiveOverfitting for Humans: A Plain-English Guide To One of Machine Learning’s Most Common MistakesHow to spot it, avoid it, and understand why your model keeps falling for it5d agoA response icon35d agoA response icon3
Published inData Science CollectiveMonte Carlo for Humans: The Best Way to Plan for the UnknownA plain-English guide to simulating risk, randomness, and possibilityOct 18A response icon7Oct 18A response icon7
Published inData Science CollectiveMarkov Chains for Humans: The Simplest Way to Predict What’s NextA plain English guide to modeling step-by-step behavior using only the present momentOct 7A response icon10Oct 7A response icon10
Published inData Science CollectiveThe Bell Curve for Humans: Normal Distribution & Central Limit Theorem ExplainedFrom dice rolls to political polls, here’s why the math of averages rules the real worldSep 23A response icon5Sep 23A response icon5
Published inData Science CollectiveBayes’ Theorem for Humans: The Math Trick Behind Better ThinkingA friendly walkthrough of how to make smarter calls when the facts aren’t clearSep 16A response icon14Sep 16A response icon14
Published inData Science CollectiveSimpson’s Paradox in Plain English: When Data Plays Tricks on YouHow the same data can tell different stories depending on how you look at itSep 10A response icon3Sep 10A response icon3
Published inData Science CollectiveLogistic Regression for Humans: Yes or No in Plain EnglishA friendly guide to understanding logistic regression and how to actually explain itSep 7Sep 7
Published inData Science CollectiveLinear Regression for Humans: Predicting the Future in Plain EnglishA friendly guide to understanding linear regression and how to actually explain itAug 31A response icon13Aug 31A response icon13