The 'Getting Started with ML Development' section is fairly poor here. Computer science fundamentals aren't always seen as being essential in engineering roles, but with ML at least a loose understanding of the underlying theory is crucial.
Just throwing whatever the current trend is at a problem isn't appropriate, and if you're dealing with deep neural networks, could be a really severe way to waste money depending on scale and the task.
This is...not great. I'm not an editor and not trying to provide free advice to the authors, but this is basically spam. Part of it sounds like it is geared for a total layman to mention some concepts, and part of it talks about learning Python and Julia? It's just odd. How is this on the front page?
Am I the only one that is instantly turned off by seeing a big AWS product logo? My main issue is vendor lock-in, but they go on to barely mention AWS even though it's filed as an "AWS" article.
Beyond that, I was hoping for a cool getting started guide, but got an article explaining what machine learning is essentially.
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[ 3.0 ms ] story [ 33.4 ms ] threadThere was some manipulation (e.g. https://news.ycombinator.com/item?id=23356274) but not enough to make the front page on that alone, as far as I can tell.
Just throwing whatever the current trend is at a problem isn't appropriate, and if you're dealing with deep neural networks, could be a really severe way to waste money depending on scale and the task.
I could find none.
Beyond that, I was hoping for a cool getting started guide, but got an article explaining what machine learning is essentially.