Concept explainers
a.
Learning:
Learning is the characteristic feature of human being to acquire knowledge about something. Computer based agents are taught by installing a new program while intelligent agents can learn on their own. On the basis of the level of human intervention required, machine learning is classified. Learning by imitation is the first level of learning in which the task is directly demonstrated by the person and then the steps are recorded by the computer. Learning by supervised training is the next level of learning in which the correct example is selected by the person from a series of examples and then the
b.
Learning:
Learning is the characteristic feature of human being to acquire knowledge about something. Computer based agents are taught by installing a new program while intelligent agents can learn on their own. On the basis of level of human intervention required, machine learning is classified. Learning by imitation is the first level of learning in which the task is directly demonstrated by the person and then the steps are recorded by the computer. Learning by supervised training is the next level of learning in which the correct example is selected by the person from a series of examples and then the algorithm is developed for that example by an agent.
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EBK COMPUTER SCIENCE: AN OVERVIEW
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- Differentiate between supervised, unsupervised, and reinforcement learning on the basis of its features, algorithms, and uses.arrow_forwardIf you are dealing with a subject that might benefit from the assistance of an expert system, could you please provide at least five rules for the knowledge base as well as one fact for the working memory?arrow_forwardWhat thinking pattern applies to machine learning in computer science? A) cognitive ability B) literal thinking C) abstract thinking D) perceptual thinkingarrow_forward
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