The ability of learning is one of the central features of human intelligence, which makes it an important ingredient in both traditional Artificial Intelligence (AI) and emerging Cognitive Science. Machine Learning (ML) draws upon ideas from a diverse set of disciplines, including AI, Probability and Statistics, Computational Complexity, Information Theory, Psychology and Neurobiology, Control Theory and Philosophy. ML involves broad topics including Fuzzy Logic, Neural Networks (NNs), Evolutionary Algorithms (EAs), Probability and Statistics, Decision
Specifications | Descriptions |
---|---|
ISBN | 9783902613554 |
Year | 2017 |
Binding | Hardcover |
Subject | Machine Learning |
Pages | 388 |
Weight | 0.4 |
Readership | BE & BTech |
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