It’s time to experiment with Data Science at home. Since we are still dealing with our hosting service, consider the first episode purely experimental, even though the content might be of your interest, no matter what.
Yesterday
Fiber lasts decades, GPUs last three years: the AI boom isn't the dot-com boom (Ep. 318)
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
54m 20s
Oct 26
I wrote a chess engine and still can't play chess: AI coding and skill decay (Ep. 317)
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
34m 48s
Oct 20
"Rust Is Amazing, as Long as Nobody Looks at It" - Fact-Checking DHH (Ep. 316)
DHH told Rails World that hand-written code is over, that HEY's backend is being AI-rewritten in Rust ("amazing, as long as you never look at it"), and that developer happiness no longer matters. This episode checks his statements. Struggling with AI and Software? Here is my new ... Show More
22m 56s
Nov 2017
107: Charting a Career in Energy Analytics
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
1h 1m
Dec 2017
Artificial Intelligence, a Podcast Approach
<p class="p1"><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></p>
33m 17s
Apr 2017
041: An Inspiring Journey from a Totally Different Background to Data Science
In this episode of the SuperDataScience Podcast, I chat with Aspiring Data Scientist Nicholas Cepeda. You will be able to discover the many different pathways in Data Science, learn R from a SQL background and hear about SAS Enterprise Miner.
If you enjoyed this episode, check o ... Show More
49m 18s
Nov 2021
A Culture of Experimentation
<p>How can organizations become more experimental? Julia Dhar, the cofounder and leader of BeSmart, BCG’s behavioral economics and insights initiative, says identify a big problem, start small, and do not overly worry that academics may criticize your experiment. As a bonus, Dhar ... Show More
22m 29s