"principal component analysis (PCA), a machine learning technique"

More like: A old technique sometimes used in machine learning

The way articles are going they will be saying that a robot that punches buttons on a calculator [0] is artificial intelligence....

[0] https://www.youtube.com/watch?v=q-ZSxndNLPY

WOW PCA. That is some old ML right here. Last time I did PCA was for flows in an undergrad paper. It's been 15 years!

PCA was introduced in 1901. Who knew Karl Pearson was actually doing AI!

The image processing in a macaques brain has been doing PCA since way longer. Atleast according to [1], around 1hr36m in.

https://www.youtube.com/watch?v=Uj6skZIxPuI

It is still pretty commonly used by statisticians, but framing it as "AI reveals" seems to be a stretch.

How about Latent Dirichlet Allocation? We used it to do sentiment analysis a little more than decade ago hehe

AI?!

This is just old school ML algorithm.

Well, AI is how we call machine learning these days. The deep neural networks we are using today are not exactly a new thing either (1960s), it is mostly just scaled up because we now have the hardware to do it.

AI is a vague term, ranging from simple game playing engines to humanlike sci-fi robots and godlike superintelligences. But now, most of the times, it just means machine learning.

It actually predates computing machines by about half a decade.

Sorry, half a century.

ML is a subset of ML

I meant ML is a subset of AI ...

It is not a proper subset, though.