I have never taken LA or Calculus, which I regret. I hated math until a took a course in computational neuroscience and learned the importance of math. And my research field is becoming more math oriented. Therefore, if I stay in academia, I will take them next semester.

Thanks for tips 👍

🙏 - What is your favorite book on the topic?

What do you think of linear algebra and matrix analysis…?

What do you have in mind, specifically? Is it that it only illustrates the subject-specific models?

Awesome! I hope I get there… I started looking into pose estimation in 2019, but gave up that direction. But it seems that much have happened since that time 😅

www.mdpi.com/1424-8220/19...

Thank you, Konrad! I will have a look. Are there other good resources that might be helpful in getting started?

I tag some people that I hope can help: @paulgribble.bsky.social @kordinglab.bsky.social @adrianhaith.bsky.social @jamessteeleii.bsky.social

Here's my thesis:
hdl.handle.net/11250/3170329

And here's a paper together with my supervisor Romy Frömer:
www.biorxiv.org/content/10.1...

(5/5)

The second thing I want to improve is (computational) modeling athletes’ learning. Are there any great research groups to follow or key articles I should read? I’m grateful for any tips you can share. Thank you! (4/5)

To achieve this, I’m considering using pose estimation to capture skiers’ movements during learning experiments. I’m new to this and wonder: what tools would you recommend? OpenSim, DeepLabCut, or something else? And how would you suggest learning it? (3/5)

I want to study how different types of instructions and feedback influence habits—both productive and limiting—for learning expertise. (2/5)

Unfortunately, this is also the trend in sports science: ‘validating’ technology that few clubs can afford and that shouldn’t be high on anyone’s priority list anyway 🙄

Typo but I think you got it! 😅