无忧传媒

How Do Machines Learn?

鈥淐hildren don鈥檛 have adults telling them what each pixel represents in every image they see, or what are the objects present in every image, what is the grammatical structure and the fine sense of every word in every sentence they hear. We extract most of the information from simple observation, and that is what unsupervised learning in principle does.鈥

Sometimes researchers combine these approaches in a method called 鈥渟emi-supervised learning.鈥 In this approach, machine learning algorithms are given a small amount of labeled training data and a much larger pool of unlabeled data from which to learn. This approach can combine the best of both worlds鈥攊mproved accuracy associated with supervised machine learning and the ability to make use of unlabeled data, as in the case of unsupervised machine learning.

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Read the Artificial Intelligence Primer.

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