Fuzzy Logic Applications in Artificial Intelligence Big Data and Machine Learning is popular PDF and ePub book, written by Lefteri H. Tsoukalas in 2023-10-27, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Fuzzy Logic Applications in Artificial Intelligence Big Data and Machine Learning can be Read Online from any device for your convenience.

Fuzzy Logic Applications in Artificial Intelligence Big Data and Machine Learning Book PDF Summary

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

Detail Book of Fuzzy Logic Applications in Artificial Intelligence Big Data and Machine Learning PDF

Fuzzy Logic  Applications in Artificial Intelligence  Big Data  and Machine Learning
  • Author : Lefteri H. Tsoukalas
  • Release : 27 October 2023
  • Publisher : McGraw Hill Professional
  • ISBN : 9781264676132
  • Genre : Technology & Engineering
  • Total Page : 174 pages
  • Language : English
  • PDF File Size : 8,9 Mb

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