* Kernel development and eBPF: I tried many time to go deep on those topics, but never became proficient
* Bayesian statistics: I know the basics and the theory, but I am not able to understand how to use it in a real world problem
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The idea here is to shine a light on these hidden interests and the little (or big!) mental blocks that come with them. If you're already rocking in those specific areas – or you've been there and figured out how to get past similar hurdles – please chime in! Share some helpful resources, dish out general advice, or just give a nudge of encouragement on how to take that intimidating first step.
Let's help each other get unstuck!
* Bayesian statistics: I know the basics and the theory, but I am not able to understand how to use it in a real world problem