Can we trust anything we see? Or hear? Last week saw the news that James Earl Jones was retiring from his role voicing Darth Vader in the Star Wars franchise, and farming it out to AI. Brief musings follow.Specifically, Jones was licensing the rights to his voice to Lucasfilm so they could recreate the voiceContinue reading "Oct 6: Ethical AI: Darth Vader and the Cowardly Lion" The post Oct 6: Ethical AI: Darth Vader and the Cowardly Lion appeared first on Statistics.com: Data Science, Analyt...| Statistics.com: Data Science, Analytics & Statistics Courses
“In the age of Big Data we often believe that our predictions about the future are better than ever before. But …in the real world, we often get better results by using simple rules and considering less information.” (From a review of Gerd Gigerenzer’s Data Savvy) The Introduction to Data Literacy course, taught by Veronica Carlan, is your entryContinue reading "Oct 19: Data Literacy – The Chainsaw Case" The post Oct 19: Data Literacy – The Chainsaw Case appeared first on Stat...| Statistics.com: Data Science, Analytics & Statistics Courses
A famous business school case by Harvard Professor Michael Porter on forecasting chainsaw sales dramatically illustrated the limits of statistical models when common business sense and clear-eyed thinking are missing. In the chainsaw case, students were asked to forecast the future U.S. demand for chainsaws, a growing market, and assess the relative positions of differentContinue reading "Data Literacy – The Chainsaw Case" The post Data Literacy – The Chainsaw Case appeared first on Stati...| Statistics.com: Data Science, Analytics & Statistics Courses
In deployed machine learning pipelines, “drift” is changes in the model environment that cause the model performance to degrade over time. Drift might result from data quality changes. For example, increasing amounts of missing values in the input data. Or a company might alter the definitions in categories (e.g. product groupings) that are features inContinue reading "Word of the Week – Drift" The post Word of the Week – Drift appeared first on Statistics.com: Data Science, Ana...| Statistics.com: Data Science, Analytics & Statistics Courses
This week we look at several case studies where success on the AI front was not sufficient to assure longer term business success. Our course spotlight is on: Aug 20 – Sep 17: Introduction to Design of Experiments Learn how to design experiments (especially costly ones) in ways that yield the most information for theContinue reading "Aug 5: AI success does not always lead to business success" The post Aug 5: AI success does not always lead to business success appeared first on Statistics.c...| Statistics.com: Data Science, Analytics & Statistics Courses
Who would have thought that an entire book devoted to the bias-variance tradeoff would make it to the NY Times business best seller list? The book is the recently-published Noise, by Daniel Kahneman, Olivier Sibony and Cass R. Sunstein, and, as of the beginning of August, it was #2 on the list. Kahneman, who wroteContinue reading "Book Review – Noise" The post Book Review – Noise appeared first on Statistics.com: Data Science, Analytics & Statistics Courses.| Statistics.com: Data Science, Analytics & Statistics Courses
A common problem in machine learning is the “rare case” situation. In many classification problems, the class of interest (fraud, purchase by a web visitor, death of a patient) is rare enough that a data sample may not have enough instances to generate useful predictions. One way to deal with this problem is, in essence,Continue reading "Word of the Week – Label Spreading" The post Word of the Week – Label Spreading appeared first on Statistics.com: Data Science, Analytics & Statistic...| Statistics.com: Data Science, Analytics & Statistics Courses
In their book, “Mining Your Own Business,” Jeff Deal and Gerhard Pilcher, COO and CEO of Elder Research respectively, describe what I’ll call “The Case of the Climbing Churn.” Churn is when a subscriber cancels or fails to renew a service or subscription. A successful predictive model for identifying likely churners was deployed for aContinue reading "AI Success, But Not Business Success" The post AI Success, But Not Business Success appeared first on Statistics.com: Data Science, A...| Statistics.com: Data Science, Analytics & Statistics Courses
This week we look at odds and betting; our course spotlights are July 23 -Aug 20: SQL – Responsible Data ScienceJuly 30 -Aug 27: SQL – Biostatistics 1 – For Medical Science and Public Health See you in class! – Peter BruceFounder of The Institute for Statistics Education at Statistics.com …………………………….. News You Need to Know What’sContinue reading "July 22: Odds and Betting" The post July 22: Odds and Betting appeared first on Statistics.com: Data Science, An...| Statistics.com: Data Science, Analytics & Statistics Courses
Incidence & Prevalence both are typically expressed as a fraction or percentage of the population. But, they do have a difference.| Statistics.com: Data Science, Analytics & Statistics Courses
Statistics.com offers academic and professional education in statistics, analytics, and data science. Learn more.| Statistics.com: Data Science, Analytics & Statistics Courses
Dimensionality curse refers to the problems that result from including too many features (predictor variables) in a model.| Statistics.com: Data Science, Analytics & Statistics Courses