Aside from being culturally relevant, artificial intelligence is also supporting companies in making business decisions. Consequently, "workforce needs have shifted rapidly," resulting in a demand for applicants who are skilled in "data, analytics, machine learning, and artificial intelligence" (Miller and Hughes 2017). This article contributes to filling that need by exploring a lesson in which students learned how conditional probability is the crux of many machine learning algorithms, including predictive text applications. Prior to this lesson, students learned how to calculate conditional probability. Most students had also demonstrated that they were able to calculate experimental probabilities on the basis of a Venn diagram, on a word problem, and on a two-way table. The activity described in this article satisfies Common Core State Standard CCSS.MATH.CONTENT.HSS. CP.A.5.