Human Stories in AI: Simon Stochholm

In this episode we have special guest Simon Stochhom, a lecturer at UCL in Denmark. Simon applies machine learning, especially deep learning, to images, video and time series in wide variety of settings. And by “wide variety”, I really mean it. Simon is fearless when it comes to seizing opportunities that come up and somehow turns them all into success stories.

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venmo: @JoshStarmer

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[godtegodte]

I'm from Denmark and I study Data Science!

[kaykwanu]

Josh, I want you to know that you are making a big difference with these stories. God bless you and all the folks sharing their stories, making Data Science concrete and relatable. Gold mine!

[livr]

Amazing to see more people with linguistics background in AI! ❤

[GonzoDark]

Very inspiring! Truly a human story - fearless indeed.

[FlokiGuy]

Josh, hello! Just recently, the ML community saw the emergence of revolutionary Kolmogorov-Arnold Networks (KANs). I would be very glad if you could make a video about them; I particularly enjoy your presentation style, thank you.

[tannergilliland]

Hi StatQuest! Have you seen the mamba ssm paper? I would love a stat quest on training and using it. Thanks to your videos I now understand a lot of the basics of machine learning. However when I see all the notation in ML papers, and the mamba paper, I get super confused. So yea, I think it would be awesome if you did a StatQuest on mamba, and maybe you could do a StatQuest on how to understand all those pesky notations.

[codewithtj]

Project on who was captain can we have more detail with the code explanation.