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Fuzzy Logic: Applications in Artificial Intelligence, Big Data, and Machine Learning
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Fuzzy Logic: Applications in Artificial Intelligence, Big Data, and Machine Learning

Book Details

Format Paperback / Softback
ISBN-10 1264675917
ISBN-13 9781264675913
Publisher McGraw-Hill Education
Imprint McGraw-Hill Education
Country of Manufacture GB
Country of Publication GB
Publication Date Nov 22nd, 2023
Print length 176 Pages
Weight 444 grams
Dimensions 15.60 x 23.60 x 1.90 cms
Ksh 14,600.00
Werezi Extended Catalogue 0 in stock

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Fuzzy logic principles, practices, and real-world applicationsThis hands-on guide offers clear explanations of fuzzy logic along with practical applications and real-world examples. Written by an award-winning engineer, Fuzzy Logic: Applications in Artificial Intelligence, Big Data, and Machine Learning is aimed at improving competence and motivation in students and professionals alike. Inside, you will discover how to apply fuzzy logic in the context of pervasive digitization and big data across emerging technologies which require a very different man-machine relationship than the ones previously used in engineering, science, economics, and social sciences. Applications covered include intelligent energy systems with demand response, smart homes, electrification of transportation, supply chain efficiencies, smart cities, e-commerce, education, healthcare, and decarbonization. Serves as a classroom guide and as an on-the-job resourceAncillaries include a sample syllabus, test sets with answer keys, and additional self-study resources for studentsWritten by an expert in the field and experienced author

Fuzzy logic principles, practices, and real-world applications

This hands-on guide offers clear explanations of fuzzy logic along with practical applications and real-world examples. Written by an award-winning engineer, Fuzzy Logic: Applications in Artificial Intelligence, Big Data, and Machine Learning is aimed at improving competence and motivation in students and professionals alike.

Inside, you will discover how to apply fuzzy logic in the context of pervasive digitization and big data across emerging technologies which require a very different man-machine relationship than the ones previously used in engineering, science, economics, and social sciences. Applications covered include intelligent energy systems with demand response, smart homes, electrification of transportation, supply chain efficiencies, smart cities, e-commerce, education, healthcare, and decarbonization.

  • Serves as a classroom guide and as an on-the-job resource
  • Ancillaries include a sample syllabus, test sets with answer keys, and additional self-study resources for students
  • Written by an expert in the field and experienced author


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