17CS73

Decision Tree for Boolean Functions Machine Learning

Decision Tree for Boolean Functions in Machine Learning – 17CS73 Video Tutorial Decision Tree for Boolean Functions Machine Learning. Draw Decision Tree for logical Functions for the following functions. Solution: Every Variable in Boolean function such as A, B, C etc. has two possibilities that is True and False Every Boolean function is either True […]

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Appropriate Problems for Artificial Neural Networks

Appropriate Problems for Artificial Neural Networks for Artificial Neural Networks in Machine Learning – 17CS73 Video Tutorial Most appropriate for problems where, Instances have many attribute-value pairs: The target function to be learned is defined over instances that can be described by a vector of predefined features. Target function output may be discrete-valued, real-valued, or

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