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Re:Google AI Education Resources by yogrish on Monday July 22, 2019 @08:02AM (#20497133)
For me the biggest problem, as manager to build AI team, is everyone talks jargons of AI/DL through these kind of courses. How do I find out who knows in depth? Do you have any intriguing questions you have that can quickly separate the wheat from chaff? Is there any Questionnaire on AI/DL that help select (AI expert)/prepare (for Job interview)?
Re:Google AI Education Resources by krapht on Monday July 22, 2019 @08:17AM (#20497244)
Same as you'd select any other professional where you don't know how to do their job.

1) Work experience. 2) Educational pedigree.

There's also the idea you should hire a program lead who does have demonstrated experience, and let them do the technical interviews of their underlings...

At the companies I've worked for doing scientific programming work, during my interview I had to give a presentation to the engineering team over lunch concerning a technical problem and take questions. If a candidate was a fresh graduate we had a requirement they have 1) a Master's and 2) they would present on any research papers they had published, UNLESS 3) they had interned at our company and everyone liked them, then they could skip the Master's requirement.

Re:Google AI Education Resources by commandlinefan on Monday July 22, 2019 @09:54AM (#20497970)
> research papers they had published

I wonder how academic publishers feel about this growing trend to require not just a degree, but now peer-reviewed, published, research papers to get a job. The sentiment behind it is, of course, if you’re really smart, you would be published, so if we look for people who are published, we know they’re smart. The reality, though, is that once this catches on, journals are going to be flooded (even more than they already are) with desperate attempts to get something, anything, with somebody’s name on it since that’s another checkbox they have to tick before they can eat. Just like what happened with higher education.

Re:Google AI Education Resources by o10449366 on Monday July 22, 2019 @08:21AM (#20497284)
Ask them about statistics and when it's appropriate to use certain models over others. It's basic, but pretty revealing if a candidate doesn't understand basic tradeoffs between bias and variance when it comes to model selection.
Re:Google AI Education Resources by krapht on Monday July 22, 2019 @08:29AM (#20497329)
Knowing about the bias-variance tradeoff is like asking a candidate to pass Fizzbuzz. It doesn't tell you anything except that they aren't completely fraudulent.

Going into more detail isn't something that a non-technical manager type would be able to do.

Re:Google AI Education Resources by ps101 on Monday July 22, 2019 @08:44AM (#20497438)
As a non-technical manager it will be very difficult - just make sure that the selection process has a technical component. As a technical manager (and opinions here will vary), focusing on linear algebra is a great filter, because it's essential to anything ML but it's rarely taught in most online courses.
Re:Google AI Education Resources by sharcerer on Monday July 22, 2019 @01:02PM (#20499961)
this might be relevant for you. https://www.deeplearning.ai/ai-for-everyone/