Machine learning hasn't been commoditized yet, but that doesn't mean you need a PhD · fast.ai


21 bookmarks. First posted by pmigdal 6 weeks ago.


Is there existing training data? If not, how do they plan on getting it?
Do they have an evaluation procedure built into their application development process?
Does their proposed application rely on unprecedentedly high performance on specific AI components?
Do the proposed solutions rely on attested, reliable phenomena?
If using pre-packaged AI components, do they have a clear plan on how they will go from using those components to having meaningful application output?
ai  ml 
16 days ago by libbymiller
“far better to take a domain expert within your organization and teach them deep learning, than it is to take a deep learning expert and throw them into your organization. Deep learning PhD graduates are very unlikely to have the wide range of relevent experiences that you value in your most effective employees, and are much more likely to be interested in solving fun engineering problems, instead of keeping a razor-sharp focus on the most commercially important problems."
ai  machinelearning  work  industry 
17 days ago by tristanf
RT : The truth about AI
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6 weeks ago by briantrice
Here’s the latest installment of my Ask-A-Data-Scientist advice column. Please email your data science related quandaries to rachel@fast.ai. Note that questions are edited for clarity and brevity. Previous posts include:
ifttt  tfav  twitter  getpocket 
6 weeks ago by linkt
Machine learning hasn't been commoditized yet, but that doesn't mean you need a PhD
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6 weeks ago by lsdr
Machine learning hasn't been commoditized yet, but that doesn't mean you need a PhD
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6 weeks ago by peterood
Machine learning hasn't been commoditized yet, but that doesn't mean you need a PhD 17 Mar 2017 Rachel Thomas Here’s the latest installment of my…
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6 weeks ago by matttrent
RT : The truth about AI
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6 weeks ago by benny
The truth about AI
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6 weeks ago by rtanglao
The truth about AI
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6 weeks ago by pmigdal