Weak supervision - Wikipedia
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2026-07-16 10:03:03
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Text Highlight2026-07-16 13:24:03
Original Highlight Excerpt
"Points that are close to each other are more likely to share a label."
Whisper Note
So it's like the 'birds of a feather' rule, but for data points? Makes sense.
Text Highlight2026-07-16 13:15:03
Original Highlight Excerpt
"Points that are close to each other are more likely to share a label."
Whisper Note
That's basically the whole basis of my clustering homework, feels like common sense honestly
Text Highlight2026-07-16 10:21:03
Original Highlight Excerpt
"Weak supervision (also known as semi-supervised learning) is a paradigm in machine learning"
Whisper Note
The exam analogy really helps—makes the whole concept way more intuitive.
Text Highlight2026-07-16 10:12:03
Original Highlight Excerpt
"Weak supervision (also known as semi-supervised learning) is a paradigm in machine learning"
Whisper Note
I thought weak supervision and semi-supervised were the same thing, turns out they're used interchangeably here.
Text Highlight2026-07-16 10:03:03
Original Highlight Excerpt
"Weak supervision (also known as semi-supervised learning) is a paradigm in machine learning"
Whisper Note
So it's basically learning with a cheat sheet, got it.
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