Machine learning and Real Estate Investing
Big question - why hasn't anyone applied data science and machine learning in the real estate domain?
With the recent (7 years?) advances in natural language processing, image recognition and the validation of various machine learning models why haven't savy investors started a mad race towards developing the ultimate valuation tool?
I've been dabbling in tackling this problem - and so far, it's not that bad.
The only big problems I see is that the data sources for national markets are not uniform.
That the given data might be incomplete or even contain errors (which will affect your model).
That the sample set might be orders of magnitude smaller than your feature space (fixable via removing or combining linearly correlated features to yield an orthogonal feature set)
...So why hasn't anyone done this yet?