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As a new grad (bachelors swe), is it worth it to jump on the ML hype train ? I see modelling is almost always only open to phds/masters. So is studying all th
by newtohn99 6y ago
As a new grad (bachelors swe), is it worth it to jump on the ML hype train ?
I see modelling is almost always only open to phds/masters.
So is studying all that stuff just for being a MLE/ data engineer worth it, if you are already a software developer (full stack)?
- voidray 6y ago> I see modelling is almost always only open to phds/masters. I think this varies pretty widely based on employer, e.g. if you are at a smaller company (and you show interest and have the necessary skills) then you're much more likely to be able to contribute on the modeling side. It's easier to get there if you have an advanced degree, but definitely not necessary. That being said, IMHO book lists like this aren't very useful because there's no incentive to keep them short and realistic. Reading seminal papers and implementing them is a different learning philosophy, maybe, but lists like this are probably more feasible to complete: https://dennybritz.com/blog/deep-learning-most-important-ideas/ https://dennybritz.com/blog/deep-learning-most-important-ide...
- dougmany 6y agoThis is a great approach to learning. It explains how the field got to where it is and allows the reader to go as deep as they want.
- currymj 6y agothe field is getting pretty crowded. there are probably better things to do at this point for pure career advancement and money, for the amount of effort you would have to spend to get viable professional-level skills. i haven't touched the job market recently though. however, it remains intrinsically very interesting and can be fun to learn about. more so than most resume items.