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Phoneaccount25732 t1_iybghm2 wrote

Interpretability, causal ML, cost of training, out-of-distribution detection.

Also inherits every other problem that can plague statistical modeling.

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blablanonymous t1_iychp9l wrote

Actually having a use case

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currentscurrents t1_iyewx3y wrote

What are you talking about? ML has been used in real-world use cases for ages; speech-to-text, machine translation, OCR/handwriting recognition, image generation, and more.

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blablanonymous t1_iyey3oo wrote

Chill out. Obviously ML is useful. The biggest companies in the world are only this big because of ML. I’m just saying that in my experience, many companies think they need it when they really just need data engineers and data analysts

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