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ML falls into a few broad categories: model design, data preparation, and deployment. Unfortunately if you don't have a PhD, most serious places won't have you
by Salgat 4y ago
ML falls into a few broad categories: model design, data preparation, and deployment. Unfortunately if you don't have a PhD, most serious places won't have you doing model design. To add to that, data preparation is very tedious. So the "sexy" part of ML (making the models) is pretty difficult to gain access to.
- bluedino 4y agoI don't have a degree, period, so I can't be hired where I work (contractor). But I spend a lot of time fixing Python code written by PhD's. There's a lot of 'glue' work to be done that traditional IT can't really handle and the actual scientists doing the work usually don't know much about.
- Salgat 4y agoYou'd fall under the deployment category. The "sexy" part of ML, designing the models, is done by the PhDs, then you clean up their code to help make it production ready.
- Der_Einzige 4y agoYou don't need the Ph.D if you do Ph.D things (publishing at top conferences). Hidden cheat code they don't tell grad students about.
- Salgat 4y agoThe unfortunate catch is that you need good connections to publish in top papers. Either that, or write some rather brilliant papers.