Ask HN: How can a front-end developer dive into machine learning?

Post by NumberCruncher » Sat, May 13, 2017, 10:04 PM UTC

AndrewKemendo wrote: post #135

jorgemf wrote: post #120

Earlier quoted context omitted.

You are missing a lot of things that you don't know. If you want to do machine learning at some point you have to train a model. You need to know how to clean the data, how to create the train/validation/test set, how to measure how good your model is, how to compare to other models you trained previously. If the model is not performing correctly you need to know why. You need to know the trade offs between precision…

If you're trying to build or train new models then you probably need to go to school for ML or at least math. The garden variety dev shouldn't be trying to implement a research paper or train new models - that's the point. There are enough proven tools out there to do good work and more are being put out there every day.

Post by UK-AL » Tue, May 16, 2017, 12:30 PM UTC

blusterXY wrote: post #143

brookside wrote: post #128

Earlier quoted context omitted.

Posts like this definitely give me a nice flare-up of imposter syndrome. Had not heard the acronym IPC. So I guess I don't even know basic shit. As a bootcamp graduate, what do you want me to ... do? I can't go back in time and major in CS. My employer is satisfied with my work and I build things I'm asked to build independently. Should I give up a startup salary, inflated as it may be, and ship myself off to a CS mo…

I'm a self-taught developer with significant programming experience who has worked as CTO of a successful startup (multimillion dollar exit) founded by others, has sold one of my own businesses for six figures, and who currently runs several independent, profitable projects. In more than a dozen years of programming, never once have I had to talk to someone about IPC. And if someone pulled that sort of higher-than-th…