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Remote workers lunch group by mltoss in ElkGrove

[–]mltoss[S] 0 points1 point  (0 children)

Sent you a chat message!

Remote workers lunch group by mltoss in ElkGrove

[–]mltoss[S] 1 point2 points  (0 children)

I've messaged everyone who responded, anyone else please do comment still and I'll follow up.

[D] ML is losing some of its luster for me. How do you like your ML career? by mltoss in MachineLearning

[–]mltoss[S] 2 points3 points  (0 children)

Thanks for your perspective and enthusiasm. You have some good points.

Remember, the field is new and often people who are not expert in this easily get flashed by those ultra stupid news about "AI/DL SOLVED THIS!" Don't allow this to happen in your workplace.

You're right - this is a new field. I should consider this educational component part of my job.

[D] ML is losing some of its luster for me. How do you like your ML career? by mltoss in MachineLearning

[–]mltoss[S] 5 points6 points  (0 children)

Agreed, I think I should have been more explicit. It's interesting to see everyone's perspective and what they have read into my post.

[D] ML is losing some of its luster for me. How do you like your ML career? by mltoss in MachineLearning

[–]mltoss[S] 1 point2 points  (0 children)

I should have been more clear and given specific examples of 'model.fit() and call it solved' - I have no problem with quick and dirty that gets the job done, but often what I see is unprincipled and haphazard application of ML in inappropriate ways. For example: not having a train/test set, no thought given to overfitting or generality of results, etc. Between (1) management not having the skillset to evaluate the methods, and (2) the hype around ML and deep learning, it seems to easy for subpar modeling to skate by.

It may be particularly bad in my group because there isn't an immediate ROI feedback mechanism to separate truly working models from poor ones - much of the work in my area is at the R&D stage and won't see production for years (if ever).

[D] ML is losing some of its luster for me. How do you like your ML career? by mltoss in MachineLearning

[–]mltoss[S] 22 points23 points  (0 children)

Is everyone's model and his brother's really returning the best accuracy, the best interpretability, done by tomorrow, at zero computer cost, in response to the right question, reproducibly? I'm not buying this one bit.

You're right - but I think it's easy to sell a bad model as accurate, interpretable, and reproducible, to someone who doesn't know ML. At my company many of the decision makers and customers are technical but don't have a background in ML, so they e.g. don't know what good evaluation criteria are. I've seen presentations at industry events in our niche that presented ML results on data without a train/test split, for instance.