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Intelligent Techniques for Data Science
Engleski
183 b
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This textbook provides readers with the tools, techniques and cases required§to excel with modern artificial intelligence methods. These embrace§the family of neural networks, fuzzy systems and evolutionary computing in§addition to other fields within machine learning, and will help in identifying,§visualizing, classifying and analyzing data to support business decisions.§§The authors, discuss advantages and drawbacks§of different approaches, and present a sound foundation for the reader to design§and implement data analytic solutions for real_world applications in an§intelligent manner. Intelligent§Techniques for Data Science also illustrates examples of handling data in§various domains such as business analytics, health analytics, and social§analytics.§§
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Engleski
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