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Bruegels Fuckbooks
Sep 14, 2004

Now, listen - I know the two of you are very different from each other in a lot of ways, but you have to understand that as far as Grandpa's concerned, you're both pieces of shit! Yeah. I can prove it mathematically.

some kinda jackal posted:

e: On python, I know I can probably learn enough to just start with some basic tutorials, but I know that I'm the kind of person who if I get frustrated not being able to write something in python or get it working I'm liable to just put the whole project down, so I'm trying not to stack the deck against me.

You're better off just sucking it up and learning enough python to get by. I have sympathy for you because I personally dislike python, but the vast majority of the ecosystem and examples for stuff like tensorflow etc. are going to be written in python and frankly learning python is going to be much easier than learning some js binding for tensorflow and trying to figure out why it doesn't work or expose the same features as in the python example.

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Bruegels Fuckbooks
Sep 14, 2004

Now, listen - I know the two of you are very different from each other in a lot of ways, but you have to understand that as far as Grandpa's concerned, you're both pieces of shit! Yeah. I can prove it mathematically.

Xun posted:

NGL I'd agree with this 100% if he was looking to do much actual implementation or looking for a deeper understanding. But if the goal is to just understand some of the basics to communicate with datascientists while using js to get an idea of the concepts and workflow, I thiiinnkk it should be fine?

It's really up to you but I think you've probably used more brainpower to rationalize not learning python than learning python would take you.

Bruegels Fuckbooks
Sep 14, 2004

Now, listen - I know the two of you are very different from each other in a lot of ways, but you have to understand that as far as Grandpa's concerned, you're both pieces of shit! Yeah. I can prove it mathematically.

ultrafilter posted:

Replication crisis in AI/ML when?

It's a massive problem already because not only is there a huge problem with replicating/reproducing results in AI/ML (only about 30% of ML papers are reproducible), pretty much all research that uses ML techniques becomes more difficult to reproduce/replicate, so it's contributing to a larger replication crisis in all science.

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