Vivienne Ming

speaker

725 appearances 1 recordings 1 series first heard Jul 2026 last heard 25 Jul

Vivienne Ming’s voice in public audio — every appearance, attributed to the second.

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recordings per month · last 12 months

Recordings per month over the last 12 months — 1 in all, peaking in Jul 2026 with 1.

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You know, that the sort of

Unfortunate truth for anyone that

doesn't want to have to learn how to factorize a polynomial is you probably still need to know how to do that and learn

you know, what are the complementary f families for your various, you know, Bayesian models?

even though you yourself probably won't be doing the implementation of them.

But you don't know why.

Why do I need to factorize this polynomial right now?

Here's a question I actually ask at

many uh engineers that work for me and I'm always shocked by their inability to answer 'cause it's so basic.

What are the basic mathematical assumptions of principal component analysis?

something that's been around for decades and decades and decades.

If you even want to call it machine learning, the most simple of machine learning.

And I get answers like, oh, it's about dimensionality reduction.

What no, that's not what I asked you.

What are the mathematical assumptions?

If the world doesn't follow these, are you violating these assumptions?

And very smart people with very fancy degrees can't answer that.

And in many ways, I don't blame them.

I blame their schools.

I blame the system that got them to just memorize how to do a thing without knowing why to do a thing.

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