Tom M. Mitchell, a machine learning pioneer and Carnegie Mellon University (CMU) professor, predicted the evolution and synergy of human and machine learning. Today's Facebook News Feed is a perfect example. The News Feed is programmed to display user friend content. If a user frequently tags or writes on the wall of a particular friend, the News Feed changes its behavior to display more content from that friend.<\/p>\n
Other machine learning applications include syntactic pattern recognition, natural language processing, search engines, computer vision and machine perception.<\/p>\n
It's difficult to replicate human intuition in a machine, primarily because human beings often learn and execute decisions unconsciously.<\/p>\n
Like children, machines require an extended training period when developing broad algorithms geared toward the dictation of future behavior. Training techniques include rote learning, parameter adjustment, macro-operators, chunking, explanation-based learning, clustering, mistake correction, case recording, multiple model management, back propagation, reinforcement learning and genetic algorithms.<\/p>\n
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What is Machine Learning? - Definition from Techopedia<\/a><\/p>\n","protected":false},"excerpt":{"rendered":" Tom M. Continue reading