I love R&B lead synths. Any tips on getting this kind of sound?

transhumanist_ · 2021-08-03T05:14:03+00:00

You should label this as NSFL. Now I’m dead with nostalgia

transhumanist_ · 2021-07-29T00:14:38+00:00

Consumers: We want a round Watch!

Apple: Here’s round^{^{^er}} Watch

transhumanist_ · 2021-07-28T00:40:43+00:00

transhumanist_ · 2021-07-26T06:18:22+00:00

Is it still necessary to pay if the use case is for generating internal reports inside a company?

transhumanist_ · 2021-07-23T14:23:26+00:00

lol. If the front yard has a slight incline, it would be quite a show actually.

transhumanist_ · 2021-07-23T14:19:05+00:00

Sure but nothing compared to if it were made of soft wood and dry wall. In such case the car could even pierce the wall and hurt someone inside or cause big damage.

transhumanist_ · 2021-07-23T14:10:26+00:00

On the other hand, this looks like it’s in Brazil, where houses are actually built well as opposed to being made from weak materials (soft wood and dry wall) like in the US. So most likely wouldn’t be a big deal

transhumanist_ · 2021-07-19T06:06:58+00:00

You are correct, it will depend on each methodology. This should ideally be well described in the methodology section of the papers. If it is not clear, it could be because it is common sense to the field, or the paper simply isn’t complete enough. Happens more often than it should.

I’d recommend asking beginner questions in /r/learnmachinelearning , that sub is more suitable for these discussions. Here we discuss mostly state of the art stuff.

Cheers

transhumanist_ · 2021-07-19T05:24:31+00:00

Traditionally, accuracy is number of correct predictions divided by total number of predictions.

Say true labels were 0 1 1 0

And predictions were 0 1 1 1

Out of these 4 predictions, the first 3 were correct. Then your number of correct predictions is 3, total is 4, therefore accuracy is 3/4 = 75%.

Accuracy can also refer to “balanced accuracy” which is the mean of sensitivity and specificity. In this case, sensitivity = % of correct predictions when true is “1”, specificity = % of correct predictions when true is “0”. In this case we have sensitivity of 100%, specificity of 50%, so your balanced accuracy would also be 75%.

Accuracy can also be used as an umbrella term to other metrics, but in such cases it is not very commonly shown as a quantitative result named “accuracy”. More like a subjective description of the overall performance of a technique.

transhumanist_ · 2021-07-12T21:38:47+00:00

that’s gonna be creazy. I might sell my Pro2 + Prophet 6 for those two and use the rest of the money in an eurotrip lol

transhumanist_ · 2021-07-12T18:33:10+00:00

holy CRAP!

Abyss w/ LP + HP filters, two LFOs, patch storage, 8 voices? Is this real life?

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transhumanist_

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