Greamy

9 ms·

1.
by Greamy 10mo ago
Well, nobody cares about you're views about stickers and tattoos, but you still commented. Compared to you though, nobody here called you a retard; maybe that says something about how people are here or how you tend to use inflammatory
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by Greamy 11mo ago
It can benefit from more complex algorithms, but I would stay away from "AI" as much as possible unless there is indeed need of it. You can analyse your data and make some dynamic thresholds, you can make some small ML models, eve
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by Greamy 1y ago
Would that help that much nowadays when peer-reviewing is just 2 students in a trench coat? In my opinion, especially on more novel works like this, the discussions between people in the field are way more useful than a stamp of approval fr
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by Greamy 1y ago
It still is super relevant. Most computer vision done outside academia is still based on older stuff, or classical computer vision algorithms. You don't really get so many chances to use the latest models and techniques, as most often
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Decoding Encoders: How Neural Networks 'Map' Reality(ofbandc.substack.com)
2 points by Greamy 1y ago|1 comments
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by Greamy 1y ago
I want to delve into some more technical interpretations in the future about monosemanticity, the curse of dimensionality, and so on. Although I worried that some parts might be too abstract to understand easily for non-technical people, so
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by Greamy 2y ago
I've only quickly skimmed the course on fast.ai and it seems to me that it has a more practical approach. It also says that math is not really important and high school math should do, which i do not agree with unless you only care abo
8.
by Greamy 3y ago
I always liked the idea of taking notes on paper, but honestly, after uni, I kind of stopped taking them in that format for personal notes as I felt like I never found whatever I needed when I needed it. In the end, a mix of digitally hadwr
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by Greamy 3y ago
My mom used to tell me when I was young to never run after money and choose a career in which I could do something that made me happy. As working on something you enjoy means you'll do it with passion, that will be seen by others in th
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by Greamy 3y ago
I've been taking a look recently at Centsible and planning to try it out. It's similar to the YNAB methodology, only on android or ios for now, but honestly that's what i've been looking for. It doesn't have all the
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by Greamy 3y ago
I believe the math background is quite important in ML, and having a good understanding of it from the beginning helps tremendously. You can check my answer from before here: https://news.ycombinator.com/item?id=36477464
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by Greamy 3y ago
If you really want to take the whole path for the sake of it, a quite agreed-upon path would look something like this (it's been referred to it a lot on Reddit, I think it's called the harsh guide to ML or something): -Take the El