Episode 1: Predictions in Data Science for 20...

A classifier went from a $200M to a $7.5B valuation in 24 days. We've seen this before: blockchain. Same hype, same irrational money. And no, it's not like the dot-com fiber boom: fiber lasts decades, GPUs go obsolete in a couple of years. Who pays when the music stops? Strugglin ...  Show more

I wrote a chess engine that beats real players. I still can't play chess. Developers who hand their coding to AI are heading the same way: they can build the machine but can't play the game. We go through the evidence (Anthropic, METR, Microsoft/CMU), the best counterarguments, a ...  Show more

This episode kicks off the new season of the show, Data Skeptic: Surveys.  Linhda rejoins the show for a conversation with Kyle about her experience taking surveys and what questions she has for the season.  Lastly, Kyle announces the launch of <a href= "https ...

In this episode of the SuperDataScience Podcast, we will listen to the Data Scientist at Utopus Insights, Gabor Solymosi. You will hear about survival analytics, you will learn how to find the freedom to work remotely, and also, you will get to know more about Text analytics. If ...  Show more

<span class="s1">This episode kicks off the next theme on Data Skeptic: artificial intelligence.<span class= "Apple-converted-space"> </span> Kyle discusses what's to come for the show in 2018, why this topic is relevant, and how we intend to cover it.</span>