Answer: Data transformation
Answer: Infrastructure, exploration, analysis, interpretation, exploitation
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Answer: It uses machine-learning techniques. Here program can learn from past experience and adapt themselves to new situations
Answer: A class of learning algorithm that tries to find an optimum classification of a set of examples using the probabilistic theory
Answer: Computational procedure that takes some value as input and produces some value as output
Answer: Additional acquaintance used by a learning algorithm to facilitate the learning process
Answer: Group of similar objects that differ significantly from other objects
Answer: Complete
Answer: Consistent
Answer: Doubly outlined rectangle
Answer: Any mechanism employed by a learning system to constrain the search space of a hypothesis
Answer: An approach to the design of learning algorithms that is inspired by the fact that when people encounter new situations, they often explain them by reference to familiar experiences, adapting the explanations to fit the new situation
Answer: A subdivision of a set of examples into a number of classes
Answer: Measure of the accuracy, of the classification of a concept that is given by a certain theory
Answer: Systems that can be used without knowledge of internal operations
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