Data and Science with Glen Wright Colopy is a podcast covering critical scientific reasoning, particularly from a data science / machine learning / statistics perspective. Episodes typically focus on understanding of how to be better scientists and critical thinkers for the practical purpose of being a better data scientists. Previously called: ”Pod of Asclepius”
Episodes
Monday Nov 02, 2020
Monday Nov 02, 2020
Philosophy of Data Science Series
Session 2: Essential Reasoning Skills for Data Science
Episode 3: Intro to Inductive Reasoning for Data Scientists
Watch it on...
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
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