Aaron Edell

Machine learning is great, but its really easy to quickly become disenfranchised by it if you’re not going about it the right way. But your business and understanding of machine learning needs to take occasional false positives and negatives into account.

Only a fraction of the population of this planet has a skill set considered essential to business and technology today. Solving tough A.I. problems is not like building the flavor-of-the-month smartphone app. In the entire world, fewer than 10,000 people have the skills necessary to tackle serious artificial intelligence research. The path to success is to first start with a problem that would be a good candidate for machine learning, and then be prepared to experiment with training sets comprised of your own data.