Philosophy of Data Science | S02 E04 | Intro to Abductive Reasoning for Data Scientists

Philosophy of Data Science Series  Session 2: Essential Reasoning Skills for Data Science Episode 4: Intro to Abductive Reasoning for Data Scientists Watch it on...  YouTube: https://youtu.be/SzQn9SPVhRU Podbean: https://podofasclepius.podbean.com/e/philosophy-of-data-science-s02-e04-intro-to-abductive-reasoning-for-data-scientists/ The third and final of our (planned) short tutorials on key modes of critical reasoning. Abduction is common called "inference to the best explanation"...so it's easy to see why this concept is important for data scientists.  Huub Brouwer (Utrecht University) walks us through a brief tutorial on how even a world-famous infer-er can get this wrong and how data scientists can avoid the same mistake. You can join our mail list at: https://www.podofasclepius.com/mail-list We're always happy to hear your feedback and ideas - just post it in the YouTube comment section to start a conversation.  Thank you for your time and support of the series!  0:00 Intro 0:18 Example of Abduction in Action 4:55 Definition of Abduction 6:21 Applying Abductive Reasoning 8:35 Why is Abduction Not Deduction? 14:55 Abduction in Data Sciences 17:40 Conclusion