Remavas

joined 2 years ago
[–] Remavas@programming.dev 4 points 3 weeks ago (1 children)

The Supreme Court was fully aware of the technical term:

Botanically speaking, tomatoes are the fruit of a vine, just as are cucumbers, squashes, beans, and peas. But in the common language of the people, whether sellers or consumers of provisions, all these are vegetables which are grown in kitchen gardens, and which, whether eaten cooked or raw, are, like potatoes, carrots, parsnips, turnips, beets, cauliflower, cabbage, celery, and lettuce, usually served at dinner in, with, or after the soup, fish, or meats which constitute the principal part of the repast, and not, like fruits generally, as dessert.

The attempt to class tomatoes as fruit is not unlike a recent attempt to class beans as seeds, of which Mr. Justice Bradley, speaking for this Court, said:

"We do not see why they should be classified as seeds any more than walnuts should be so classified. Both are seeds, in the language of botany or natural history, but not in commerce nor in common parlance. On the other hand, in speaking generally of provisions, beans may well be included under the term 'vegetables.' As an article of food on our tables, whether baked or boiled, or forming the basis of soup, they are used as a vegetable, as well when ripe as when green. This is the principal use to which they are put. Beyond the common knowledge which we have on this subject, very little evidence is necessary or can be produced."

Nix v. Hedden, 149 U.S. 304 (1893)

So this is how the Supreme Court could do this: they were fully aware but reasonably decided tariff laws should be based on ordinary meaning.

[–] Remavas@programming.dev 2 points 3 weeks ago

My guess was correct, based only on the translation of piktΕΎolΔ— lol.

[–] Remavas@programming.dev 1 points 2 months ago* (last edited 2 months ago)

That's not a type. A NaN is a floating point number (of type float). I used numpy because that's the easiest way to get a NaN.

This is part of the floating point standard.

This was never about None, which is a completely different thing.

[–] Remavas@programming.dev 2 points 2 months ago

NaN is a special floating point value. https://en.wikipedia.org/wiki/IEEE_754

It's weird but it makes sense why it was chosen to be this way.

[–] Remavas@programming.dev 1 points 2 months ago (2 children)

They say a picture is worth a thousand words.

[–] Remavas@programming.dev 4 points 2 months ago (4 children)

It's not true in a normal programming language. If it is true in yours, you should stop using it immediately.

[–] Remavas@programming.dev 1 points 2 months ago

Where did you get this information from?

[–] Remavas@programming.dev 3 points 4 months ago

With a cup of Polonium tea.

[–] Remavas@programming.dev 5 points 5 months ago (1 children)

The problem being that he is currently heading a superpower which is threatening economic and military force to achieve its goals, which apparently go against those partners.

[–] Remavas@programming.dev 1 points 5 months ago* (last edited 5 months ago)

I am under 30, and I have interacted with music files.

edit: I don't know about where you live, but I am definitely not the exception.

[–] Remavas@programming.dev 4 points 5 months ago

We have been fucking it for centuries. And by the looks of things, that's not stopping any time soon. I'd rather we have something we can do besides hoping that certain people decide now's the time to seriously address climate change.

[–] Remavas@programming.dev 2 points 6 months ago

Don't forget the new open-access model which has scientists pay money instead! (And not paltry sums)

 

Greetings. I am just getting started with Machine learning. I went into this field actually mostly focusing on Deep Learning, however whilst reading Ian Goodfellow's "Deep learning", I have found an interest in the field in general. Would you have any recommendations regarding books (or other resources, though I prefer textbooks)? Any recommendations are welcome.

Regarding mathematics, I would actually prefer books with a more rigorous exposition.

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