Recent comments in /f/MachineLearning

Tgs91 t1_j954pam wrote

If you work in a job where you're frequently asked to apply your code using different cloud environments (AWS, Azure, Google, local machines, etc, etc), then it's good to dev/test code locally and have a mix of Windows and Mac on your team. If your tests pass on both Mac and Windows, then they'll probably also pass on just about any Linux based environment in a cloud service. Dev local, train on cloud with minimal debugging because you pay by the hour.

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advadnoun t1_j952b3z wrote

Reply to comment by tiensss in [D] Please stop by [deleted]

"Buzzword" is not the right term for this term lol

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It's meaningful and... not just fashionable. Whether you think it's easily benchmarked is a different story.

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Morteriag t1_j951p1n wrote

I would use instance segmentation, it will feed the network more information and increase the chance if success. The output is also easier to interpret to guide data selection in the next iteration. The annotation process is more labour intensive, but using good tools/annotation platform go a long way to speed things up. Once your model is good enough, it is mostly a matter of correcting small mistakes.

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cajmorgans t1_j950xr8 wrote

Reply to comment by gunshoes in [D] Please stop by [deleted]

Oh god…

”I wasn’t that great with math, but I know +,-,*/, can I become a professionell data scientist like yesterday?”

I’m studying a Bachelor in ML/DS and had a pretty solid background joining the program. In 1 year, we’ve had maybe 50% drop offs because “Too much math bro”…

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blueSGL t1_j94yv6s wrote

any idea how they format the search results, because out of all of them that would seem to be the most tricky. No idea if the google summery text preview contains the answer or enough context to get the answer. If it needs to actually go to the website the tool has no knowledge of how the website will be formatted or length of the site. (potential context window issues)

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not_mig t1_j94ouse wrote

I'm having trouble understanding a lot of explanations of different neural networks online because I can't wrap my head around any of the diagrams. Any good resources that do a good job linking the diagrams to the mathematical equations because I am completely lost

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Metacognitor t1_j94ois4 wrote

Reply to comment by KPTN25 in [D] Please stop by [deleted]

That's a fair enough point, I can see where you're coming from on that. Although my perspective is perhaps as the models become increasingly large, to the point of being almost entirely a "black box" from a dev perspective, maybe something resembling sentience could emerge spontaneously as a function of some type of self-referential or evaluative model within the primary. It would obviously be a more limited form of sentience (not human-level) but perhaps.

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