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A_HumblePotato t1_j6dye7c wrote

Modern machine learning is really an amalgamation of older disciplines (signal processing, control theory, optimization, estimation theory, etc…). One example is the LASSO algorithm was originally developed for signal processing applications. So to get to your question, it’d be impossible to capture its scope! Topics like adaptive signal processing, optimal signal processing, image processing, pattern recognition, and estimation & detection theory are all traditional signal processing topics that have merged into the AI field.

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invariant_mass t1_j6e0ca7 wrote

To add to this Receiver Operating Characteristic (ROC) curve also comes from signal detection theory which was established for detection of objects using radio signals.

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a_khalid1999 OP t1_j6e466a wrote

I see. I graduated as a EE and found signal processing (somewhat along with control theory) pretty interesting cuz of all the math involved. Enjoyed ML too, but a lot of the work around me was more into programming applications using ML rather than tinkering with the math behind it, so was looking for a way to merge signal processing and AI theory...

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