دانلود کتاب تکنیک‌های هوش مصنوعی و یادگیری ماشین در مهندسی و مدیریت

Artificial Intelligence (AI) is becoming familiar due to the minimum requirement of data, facilitating accurate predictions, and minimal necessity of understanding the physics behind input–output relationships. Its potential to tackle non-linear and complex problems with greater flexibility is an added advantage. Its appli-cations in engineering, management, and allied fields are growing exponentially. Over time, numerous experts introduced books and developed blogs on the theme, which are primarily theoretical. However, the proposed book amalgamates relevant theory, numerical problems, case studies, and recent advances wherever possible. We believe that this new dimension will greatly benefit present-generation researchers and students. The present book consists of seven chapters: (1) an introduction; (2) a description of performance indicators; (3) classical machine learning algorithms; (4) advanced machine learning algorithms; (5) fuzzy logic-based modelling algorithms; (6) emerging research areas, topics including, Blockchain, recent ML techniques, evolutionary algorithms, AI tools, the Internet of Things, big data, deci-sion support systems, Taguchi design of experiments, data augmentation, and cross-validation; (7) representative case studies. The appendix covers representative AI tools, data sources related to AI, books, and journals on AI. The present book can support undergraduate, postgraduate, and Ph.D. students in AI, Data Mining, and Soft Computing in Engineering and Management and allied fields. We are grateful to Prof. Yadati Narahari, Department of Computer Science and Automation, Indian Institute of Science, Bengaluru, who consented to write a Foreword for the book.