| So I have what I would consider a fantastic business plan with the online experience to back it up. I've done my research and have 3 very serious investors that want to invest as soon as they can. The problem: The idea centers around marketing (I'm one of the best at SEO. I work for banks and fortune 500 companies) AND a machine learning mechanism to decide what content to deliver to the visitor. The question is should I try to learn php and take the free Machine Learning course Stanford is offering right now? The other option is keep sub-contracting to development agencies, collecting my paycheck after all 10 hours of work, and hiring a ninja-programmer. Another small issue, the tech talent in my area, Wilmington, NC, isn't the greatest. I'd love to hear everyone's thoughts on this. |
This sounds like a pie-in-the-sky idea. How can you develop a startup around a ML algorithm when you can't code and have never studied ML? Do you have a technical co-founder?
What kind of "mechanism" (these are actually called algorithms or machines) will you use? What frameworks or languages (NumPy/SciPy, pandas, Weka, Mahout; Java, Python, R) will you use to implement this algo? Do you know what data you'll analyze? Or how you'll normalize that data?
Get to the point where you can answer these questions and you'll be on your way. Until then, you'll struggle to find a technical cofounder (or, if you have one, you'll struggle to communicate with them and evaluate whether they are good at what they do).
tl;dr: unless you have a technical co-founder, you'll need much more than a Stanford ML course and some PHP to make this work.