I spent the last few years in school and am slowly planning to transition back to the private sector over the next few years. The more I'm learning, the more I'm thinking it would make sense to create a tech startup focusing on machine learning a few years down the road.
I have a math degree but I still am missing a lot of the engineering know-how.
The big question for me is : How much of that know-how do I have to fill? And how should I compensate for it?
There are a few strategies I could pursue:
a) Focus on making money regardless of in which field. Learn just enough code to judge technical competence. Throw money at the problem (Trial and error outsourcing).
b)Same as a) but learn just enough code to translate my ideas into a proof of concept or MVP. Sell a few units, prove that I have a viable product with a viable market
and THEN seek a technical co-founder.
c)Work toward a sales job in a large tech corporation and really work on building relationships with the programmers and the techs. After a few years, use those contacts and build that startup.
Thoughts?Which paths should I take?