Philosophy of Data Science | S02 E03 | Intro to Inductive Reasoning for Data Scientists

Philosophy of Data Science Series 
Session 2: Essential Reasoning Skills for Data Science
Episode 3: Intro to Inductive Reasoning for Data Scientists
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YouTube: https://youtu.be/lNOUvOUE_KE
Podbean: https://podofasclepius.podbean.com/e/philosophy-of-data-science-s02-e03-intro-to-inductive-reasoning-for-data-scientists/
New episodes of the Philosophy of Data Science Series will now be published on Mondays!
Today's episode is a short introduction to a fundamental concept. Definitely worth your time!
Inductive reasoning is the fundamental challenge to scientific rigor. Induction is baked into methods like K-fold cross validation or generalizing from a sample to a population. However, many statisticians and data scientists are unfamiliar with the term and its implications. Joseph Wu (Brown University) gets us up-to-speed with a 10-minute presentation on the fundamental role of induction in scientific reasoning.
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Outline
0:00 Intro
0:18 Inductive vs Deductive Reasoning
2:35 Overview of Induction, Deduction, and Abduction
3:23 Types of Induction: Everyday Life vs Statistical Generalizations
5:25 Sample to Population Induction
6:48 Population to Individual Induction
9:35 The Problem of Induction
11:52 Induction: Fallible but Powerful