lavergnetho , to random
@lavergnetho@fediscience.org avatar

There are so many papers using AI/ML for satellite-based , and I understand so little of it🫣. And I will never get it unless I get my hands dirty, right?

Did anyone manage to learn and apply AI/ML (well) after their PhD/Postdoc? How did you do?

lavergnetho OP ,
@lavergnetho@fediscience.org avatar

@simon_on_energy I know, right?

Learning a new programming language, I get it. But learning a new concept / topic (without changing position)?

I recently took the 101 Curriculum (online, self-taught).

I got through it because:

  1. it is an interesting topic that I want to apply soon;

  2. I got motivated by tokens for each module;

and

  1. I took most of it during the New Year break, which is exactly making the point 😅
pdebuyl , to random
@pdebuyl@fediscience.org avatar

Blog post: "NASA TOPS Open Science 101 review"

http://pdebuyl.be/blog/2024/nasa-tops-open-science-101-review.html

CC
@ChelleGentemann @crawfordsm

lavergnetho ,
@lavergnetho@fediscience.org avatar

@pdebuyl @ChelleGentemann @crawfordsm

Thanks for sharing your experience with taking the Open Science 101 curriculum. I took it as well and fully share your recommendation that many scientists should take it.

I learned most about licensing, preprints, and about the usefulness of the Open Science and Data Management Plan. And yes, I am a little proud of my course certificate 😉.

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