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While I have found it quite easy to take a code-first approach to deep learning/machine learning, I have encountered a lot of scepticism from existing ML/data s

by Eridrus 10y ago

While I have found it quite easy to take a code-first approach to deep learning/machine learning, I have encountered a lot of scepticism from existing ML/data science practitioners about such an approach, and I feel like investors will be even more risk-resistant. Funnily enough big tech companies have seemed the most willing to accept people making a switch. I'm guessing because their appetite for ML/DL people is currently unquenchable.

blazespin 10y ago
Hard to say. Universities aren't very good at instilling good applied engineering. If you are 18, very high GPA and you've passed this course and have strong programming skills, I think some investors would be interested. Similarly, if you have say a physics degree from a good university and you've done this I think investors would be interested. If you're 22+ with a high school degree and not much of an engineering resume... Yeah, your pitch deck better be good.