[Disclaimer: AAPL engineer, technically classified as ML] I would argue that ML ... | Hacker News

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		microtherion on May 18, 2020 \| parent \| context \| favorite \| on: Uber cuts 3000 more jobs, closes 45 offices [Disclaimer: AAPL engineer, technically classified as ML] I would argue that ML researchers/engineers have a clear impact on AAPL products in several areas: * FaceID * Steadily improving speech recognition accuracy in Siri * Considerable improvement in speech synthesis quality * Increasing sophistication in camera image processing

amznthrowaway5 on May 20, 2020 [–]

In my experience working on these product teams, most of the real gains are just from solid engineering combined with public advances in ML. The teams filled with ML specific folk aren't able to accomplish much.

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