Why not list the pros/cons of each method and let the candidates choose their poison. Whichever metric they think they would be best at given their constraints.
Still requires work and a subjective estimation of candidate skill because you have to make a judgment across metrics instead of within one, but I mean, everybody wins in this case, right?
Well, you're right. The people sharing the resources are doing it for education's sake - for anyone that's interested. I think it's more accurate to say I feel locked out
I get what you mean. I've been applying the skillset to Kaggle problems, each of which I imagine contain multiple subproblems which companies might face. But kaggle standings, in my experience, dont seem to be too convincing a metric for job openings.
The problem with the MOOC ecosystem at the moment is there's no clear path forward with them. I'd have imagined the MOOC certifications solving this problem, but I feel networking plays a much bigger role in the job market rather than credibility.
The only exception I see is Udacity, which, by its pricing has created a limited pool of graduates, and therefore are valued much higher
I work as a Mechatronics engineer and I have an interest in AI. I've personally gone through a lot of the online resources out there:
1. Andrew Ngs Deep learning MOOC
2. Fast AI parts 1 & 2
3. The old Google Machine learning course
But, what next?. From my experience, this doesn't give you enough credibility to get you a job interview at even a small sized firm, let alone Google.
Don't get me wrong, I really appreciate all the fantastic AI learning resources out there. Its incredibly enabling, but I feel like I'm missing the point of this - Is it to enable people to start companies using AI based tech, and grow the google compute based ecosystem? If its to grow the number of AI jobs and eligible people for those jobs, I have doubts whether that's actually working, or am I missing something?
Still requires work and a subjective estimation of candidate skill because you have to make a judgment across metrics instead of within one, but I mean, everybody wins in this case, right?