psv1

11 ms·

61.
by psv1 7y ago
> The big tech companies’ only advantage is that they can manufacture more complex tech. Only advantage? What about the already established user base, decades of experience, brand recognition, and giant piles of money? And I'm sur
62.
by psv1 7y ago
Flexible and foldable products are so underwhelming. At this point they seem like something being developed just for the sake of demonstrating that it's possible. If the goal is to make attractive products, they're failing spectac
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by psv1 7y ago
You should really compare it directly to your other options. I recently moved to London from the north of England and was also somewhat reluctant at first exactly because of the higher cost and possibly lower quality of life.
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by psv1 7y ago
> I’d wait until the dust has settled from Brexit Even in the best case scenario it will be years before you can consider Brexit settled in any way.
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by psv1 7y ago
> some standardised method, assessing working memory, verbal fluidity > (I'm not talking about IQ obviously.) Why not IQ? It's the most well-researched, standardised and validated test for cognition that we have. It's t
66.
by psv1 7y ago
And even if they accomplished it, they wouldn't come even remotely close to being as financially successful with the same product.
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by psv1 7y ago
That's one of those things that make for a nice Medium article, but in practice work horribly or not at all.
68.
by psv1 7y ago
I agree, he's really difficult to listen to. It's surprising how someone with communication skills as bad as his managed to get quite a few great guests.
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by psv1 7y ago
If you're: - working interactively (i.e. your code isn't part of a larger application) - working with relatively small datasets that fit into memory - don't need any deep learning libraries then both R and Python can do a gre
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by psv1 7y ago
The elastic library on CRAN got a major update a few months ago which made it much more powerful and easier to use. Makes uploading easy too, especially if there's a direct relationship between the structure of your dataframe and the E
71.
by psv1 7y ago
By data it hasn't seen before I mean a sample which doesn't exist in the training set. Maybe I'm not understanding something in the parent's argument. For example, you train an image recognition model to tell cats and do
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by psv1 7y ago
> You can always verify why it made the choices it did on old data. This makes no sense. Your model typically isn't asked to make predictions on "old data" because it was trained on it. And understanding why it made certai
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by psv1 7y ago
> purpose of black-box models is to be impossible to understand This is just outright wrong. And the argument about moderation is completely unrelated.
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by psv1 7y ago
The whole point is that your models should perform well on data that they haven't seen before. You can't create a hash function for that. Let alone one that works for 100s or 1000s of dimensions.
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by psv1 7y ago
> non-standard interpreters like pypy and cpython Isn't CPython the default and most standard interpreter?
76.
by psv1 7y ago
This problem is coming from the way providers choose to deliver content, the way they design their data products and the metrics they optimise for. NLP is simply the group of algorithms that power this process, not the underlying cause.
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by psv1 7y ago
> apps being built in collaboration with AI Oh please no, that's just so unnecessary.
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by psv1 7y ago
None. That person had plenty of available advice that he didn't listen to. What he needed was better role models and people to emulate, not advice.
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by psv1 7y ago
You can try this for yourself with zero downsides - leave it at home for a day and see how it goes. If it's not that bad, leave it at home the next day too and then don't use in the evenings. Or try to delete some apps and keep th
80.
by psv1 7y ago
> If you like books and you want to deeply understand ML techniques I'd suggest jumping straight into "Introduction to Statistical Learning" and only learning calculus/stats/matrix methods (linear algebra) as you
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by psv1 7y ago
You're right about ESL, that's why I started the list with some more fundamental material. Also, +1 for Aurelien's book, it's really good; I didn't know he had a revised edition for TensorFlow 2.
82.
by psv1 7y ago
Good free resources: - MIT: Big Picture of Calculus - Harvard: Stats 110 - MIT: Matrix Methods in Data Analysis, Signal Processing, and Machine Learning If any of these seem too difficult - Khan Academy Precalculus (they also have Linear Al
83.
by psv1 7y ago
Yes, I have, and my experience has been the exact opposite. Their courses on calculus and linear algebra are some of the best that I've come across.
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by psv1 7y ago
You have one of the best universities in the world sharing their material for free. That's what's valuable, not the forums that can be attached to the platform or the certificate that no employer cares about.
85.
by psv1 7y ago
Are you switching because you want to or are you forced to switch and take a pay-cut? Either way you shouldn't put up with it but knowing that detail can paint a very different picture.
86.
by psv1 7y ago
Their ad model is what gets discussed every time Brave comes up and it's irrelevant to me - I block all ads myself regardless of the browser. My point is that if you switch ads off in Brave, you end up with a really good browsing exper
87.
by psv1 7y ago
For people who are considering switching away from Chrome - give Brave a try, it's really good. I was a bit reluctant for a while because their branding is weird and there's too much focus on their crypto ad model. But if you swit
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by psv1 7y ago
Just realised that I don't know or use any languages that can be considered non-mainstream. Although Racket has been on my to-do list for way too long now.
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by psv1 7y ago
Federer says yellow - https://www.youtube.com/watch?v=1at7aQqjhC8
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by psv1 7y ago
The advice here is good but it only confirms for me that I would much rather commute to and from an office every day than work from home.

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