Data Science Rabbit Podcast20 Maj 2024

Body Heat (Ep 007)

Welcome to another insightful episode of the Data Science Rabbit Podcast, the official podcast of the Data Science Rabbit Hole, hosted by Michael Bagalman. Today, we dive deep into the intriguing data science behind human body temperature. Join us as we debunk the long-held belief that 98.6°F is the "normal" body temperature and explore how modern technology and data science are reshaping our understanding of health.

We'll also share a humorous yet insightful sponsor message about P-Values, discuss the importance of deep understanding and clear communication in the digital age, and let the data scientist nonpareil, Cornelius P. Snarkington, reflect on a wise quote from Doctor Who about the dangers of altering facts to fit views.

Whether you're a data science enthusiast or simply curious about how data can improve our health, this episode is for you. Tune in and join us as we fall down the rabbit hole into the fascinating world of data science and human body temperature!

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Avsnitt(24)

Structuring a Data Team (S2E1)

We're back for a second season. I have a book coming out, so let's talk about it. And Cornelius has a few words about people sneaking hidden messages on resumes for HR AI systems. Also, look for new m...

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Must I consider my AI's moral Welfare? I'd really rather not.

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Welcome, Robot Overlords (Ep 021)

There's been a lot of AI news in the last week, so let's talk about it.

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Political Polls Suck (Ep 020)

Nate Silver is worrying about "herding" by political pollsters. And Michael Bagalman says polls of battleground states are useless anyway. Lastly, a "Sunday Sermon" about our digital responsibilities.

2 Nov 20246min

Zombie Apocalypse (Ep 019)

Can data science help us understand the zombie apocalypse? Of course it can.

30 Okt 202418min

Vampire Dynamics (Ep 018)

Can differential equations that describe population dynamics help us understand the relationship between humans and vampires?

26 Okt 202424min

How Many Zombies Do You Know? (Ep 017)

How many zombies do you personally know? And how can that question tell us how many zombies there really are? Another spooky Halloween look into the data pseudoscience of the undead.

23 Okt 202414min