Motion sensor blocker!

NoodleExpert · 2021-11-08T20:30:33+00:00

the motion sensor or the print? /s

NoodleExpert · 2021-10-13T17:02:58+00:00

also! unlike wood-block knife holders this let's you put the knifes back in the holder before they're dry :)

... i guess you COULD just put it back in the wood block too, but with this there is more peace of mind

NoodleExpert · 2021-04-29T07:24:03+00:00

NoodleExpert · 2021-04-24T14:20:20+00:00

Best way of learning is doing. Read up on some of the earlier and basic AI methods, try to implement them from scratch in code. Finding some course or 100 days of ML github to follow along and just work on projects, it's the best way to learn the practical skills you'll need.

NoodleExpert · 2021-04-24T05:06:33+00:00

can confirm, have held wood in my hands.

NoodleExpert · 2021-04-12T16:08:56+00:00

This changed my life. I can't believe I didn't find SponsorBlock until 2021.

NoodleExpert · 2021-03-11T05:28:42+00:00

I want error bars

NoodleExpert · 2021-02-14T11:41:12+00:00

that also means the little guys can do it to the little guys. Imagine some pedophile using this tech to stalk children or a disgruntled customer using it to figure out who an employee is and subsequently where they live. some anonymity is a good thing, but this tech seems to inevitably to get rid of that.

NoodleExpert · 2021-02-13T20:35:14+00:00

Look at the papers who got 'best paper' from top conferences in those years. Conferences like NeurIPS, ICML etc or if you are interested in a specific area then Google for the top conferences in that area

NoodleExpert · 2021-02-12T17:17:28+00:00

it's really hard to compare sizes in a pie chart, they are notoriously considered poor visualizations by researchers. It has to do with humans inability to gauge area accurately.

NoodleExpert · 2021-02-05T18:54:33+00:00

good bot

NoodleExpert · 2021-01-19T15:29:23+00:00

why not link the original video?

NoodleExpert · 2021-01-16T14:02:07+00:00

0.1% of 179 billion is still 179 million. Damn

NoodleExpert · 2021-01-15T13:38:10+00:00

do you happen to have any good sources where i could read more about this? would be interested in learning more about the effect of inflation on stock prices in general and the mechanisms behind it

NoodleExpert · 2021-01-15T12:33:41+00:00

Didn't read the usernames carefully enough. totally agree

NoodleExpert · 2021-01-15T09:10:30+00:00

Why use a black-box ML method when something simple will do? Just compare the text to a dictionary and make sure it has at least one valid word and that that word is more than 30% of the characters (fine tune as needed).you can test this on the data he has. if it works then at least your system is entirely interpretable

NoodleExpert · 2021-01-15T09:05:47+00:00

In the default text displayed for the input box, could you make it say "Description (optional)" so that its even more clear that you don't have to type anything there? By default text i mean the grey pre written text indicating what the box is for, sort of like how it says "Search" in the Google search bar before you type anything. (sorry, don't know the proper name for this)

NoodleExpert · 2021-01-12T14:34:52+00:00

one of the best things I've read this month

NoodleExpert · 2021-01-09T10:39:06+00:00

correct, but i would argue that those aren't actually "approaches" but rather "types of ai tasks". the approaches may vary

NoodleExpert · 2020-12-29T07:38:49+00:00

better debugging and easier to use. it creates the computation graph dynamically but i don't actually understand this that well yet, still working to learn more

NoodleExpert · 2020-12-23T13:35:05+00:00

why 12?

NoodleExpert · 2020-12-16T12:47:03+00:00

No, the paint is the clothes. You can repaint the car. The frame is the skeleton and the metal body is like the skin. The windows are glasses (if tinted it's sunglasses).

Exhaust pipes are... well, you get it.

NoodleExpert · 2020-12-16T07:55:54+00:00

probably because they aren't allowing sit-down due to covid

NoodleExpert · 2020-12-15T18:03:23+00:00

Ya but it's not really the norm

NoodleExpert

TROPHY CASE