Fair point

I mean, a lot of docker files out there with COPY . .

Dev oops

“we’ve had one break fast, yes. What about second break fast?”

Thread safe pouring

Necessity is the mother of invention

Love the functionality, hate the syntax

Yes, it’s called a train test split, and is often 80/20 or there about

That appears to be streamlit, a really cool package that allows you to write front ends in Python with minimal front-end experience

And so wonderfully similar to the way that symbol is used in other languages as well. Gosh darn it I love JavaScript

“We’ve detected what might be a missionary at your front door”

I find myself in the same boat, but with 3D printing

Yep, I’m inclined to agree. There never were any Ukrainians on that flight, and Russia took the opportunity to execute a bunch of POWs, and use this as cover.

Chinese coast guard personnel drove them away from the disputed Scarborough Shoal off the northwestern Philippines and ordered them to dump their catch of fish and seashells.

Sure thing Winnie, just bend over

The stones on the grave too.

To add to the other great explanation here, if you want to research a machine learning model that could do this, I would start with a model called logistic regression.

Yes! https://simplelogin.io/

from industries import vandelay

:p

Yep, I’ve been at conferences for data science where I hear talking about tracking position in a store using things like Apple air tags for the same reason.

Data scientist here! In addition to the data points others have mentioned, there is actually a lot more data available than you would think in the form of metadata. We call the process feature engineering - essentially building a set of inputs that help determine an output, or prediction. How long you spend in the app, how long you stay on a screen before changing, how long you view a TikTok before swiping, which of the default settings you change, into what, all of this is used in machine learning models to help build a more accurate advertiser profile for you. Even if you don’t volunteer data about yourself, your behavior in a way informs on you, even if you don’t realize it. Through inference, a machine learning model could accurately deduce your age based on your behavior, for example.