# Data

1. [5]
MimicSquid
I particularly like the structure of this video. The clubgoer over and over drifts into philosophical arguments about the issue at play, only to run into dead ends. How can he talk about the issue...

I particularly like the structure of this video. The clubgoer over and over drifts into philosophical arguments about the issue at play, only to run into dead ends. How can he talk about the issue in a way that actually gets through to the person he's talking to?

1. [4]
ainar-g
The structure of the video is especially clever when you consider that it is essentially what a machine learning model goes through during its training. It sees a great multitude of possible...

The structure of the video is especially clever when you consider that it is essentially what a machine learning model goes through during its training. It sees a great multitude of possible paths, but most of them are “wrong”, and the model slowly learns the ones that are “correct”. (I refuse to call ML models “algorithms”. They are, in my understanding, much closer to equations than to algorithms proper.)

1. thundergolfer
They're definitely algorithms. "Algorithm" is a really broad thing: In ML model is trained using an algorithm, and this is quite clear given the basic structure of training represented as...

I refuse to call ML models “algorithms”

They're definitely algorithms. "Algorithm" is a really broad thing:

a process or set of rules to be followed in calculations or other problem-solving operations, especially by a computer.

In ML model is trained using an algorithm, and this is quite clear given the basic structure of training represented as high-level 'rules':

1. Look at training example and have model predict
2. Evaluate prediction
3. Use evaluation to update model
4. Repeat steps 1-3 N times

Even once trained, a function `score(model, input) -> prediction` must be run to get anything useful from it. That function, here called `score`, is also an algorithm.

I conceptualised it as someone save-scumming their way through a dialogue tree in a videogame but now that you point it out, ML is basically the same idea.

I conceptualised it as someone save-scumming their way through a dialogue tree in a videogame but now that you point it out, ML is basically the same idea.

3. teaearlgraycold
It's essentially a depth-first-search across the problem space. Graph exploration algorithms are one of the simplest forms of AI.

It's essentially a depth-first-search across the problem space. Graph exploration algorithms are one of the simplest forms of AI.