I see. As far as research is concerned, I guess, EE's in ML shouldn't be seen as "changing their field"

Thanks, will look into it

Thanks

RL sure seems like a fun field to get into

Guess we shouldn't be taking the EE background for granted

Seems to make sense considering how convolutions are simply multiplications in the Fourier domain

Sounds fun. During my Bachelors I took ML courses along with Signal Processing and other EE stuff wanting to somehow specialize in some intersection, now ending up kinda in this identity crisis of being a CS or a EE. Make EE great again! :D

At this point, I feel dumb for writing this post. If I ak not mistaken, Dr. Lecunn has a ECE background before his PhD, also evident from the invention of CNNs, that have convolution, fundamentally a EE thing

Interesting perspective. I did not know Computer Vision was a EE-dominant field at one point, I mean I knew Image Processing is a EE thing, but Vision just gave the ... CS vibe, I mean when I took it in my Bachelor's it was labelled as a CS course.

So basically one way of looking at things could be, and as a EE I'm obviously biased, it's not the Signal Process Engineers moving into ML, it's the CS guys starting to use Signal Processing, cuz where I've been the impression is always that AI is completely a CS thing and the EE's coming in this field are coming due to the lack of job opportunities

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...

Yeah, I'm a recent graduate. I have seen signal processing and ML overlap somewhat, but when I saw it written on the site, it felt there was some fundamental use or something.

>If you're looking, you've probably already seen it.

Getting wise master-ish vibes :)