Content provided by IBM and TNW. Babies learn to talk from hearing other humans — mostly their parents — repeatedly produce sounds. Slowly, through repetition and discovering patterns, infants start connecting those sounds to meaning. Through a lot of practice, they eventually manage to produce similar sounds that humans around them can understand. Machine learning algorithms work much in the same way, but instead of having a couple of parents to copy from, they use data, painstakingly categorized by thousands of humans who have to manually review the data and tell the machine what it means. However this tedious and…
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