I have been learning about machine learning and deep learning (ML/DL) for the last year. I think ML/DL is here to stay. I don’t think this is a fad or bubble! Here is why:
- ML/DL has results. It is hard to argue against success.
- ML/DL has been on the rise organically since 1985 (with the backpropagation algorithms) and went through another phase of acceleration after 2005 (with the wide availability of big data and distributed data processing platforms). The rise of ML/DL is following a rising curve pattern, not the pattern for a hyped ephemeral bubble. Since it grew gradually over many years, I betting it will be around for at least the same amount of time.
- ML/DL has been co-developed with applications. It has developed very much on the practice side with trial and error, and its theory is still lagging a bit behind and is unable explain many things. According to Nassim Taleb’s heuristics ML/DL is antifragile.
- ML/DL has the market behind it. Big money provides big incentive and has been attracting a lot of smart people. This many smart people cannot be wrong.