CIOs Need to Invest in Machine Learning Now - DATAVERSITY

Heller goes on, "For years, computing has been stuck in an'if/then' paradigm. 'Computers are good at A B, or A B, but they are bad at A is similar to B' says Olley. 'Until now, only humans could handle'similar to' situations, but with machine learning, we can train algorithms to perform highly complex functions from describing an image to making judgement calls.' Say you want to sort and categorize all of your digital photos. 'If every picture of a dog were identical, it would be easy for an application to recognize dog photos and tag them appropriately,' Olley says. 'But dogs are not identical to one another, so the machine needs to see a series of photos labelled'dog' until it learns to recognize dogs in the abstract. But once it's trained, the machine can sort those photos on its own'."