Artificial Intelligence and Machine Learning Techniques in Engineering and Management
by Komaragiri Srinivasa Raju and Dasika Nagesh Kumar
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The present book covers various facets of Artificial Intelligence, Machine Learning, and Fuzzy Logic. It includes a brief discussion on performance indicators, Classical and Advanced Machine Learning algorithms, Fuzzy logic-based modelling algorithms, Emerging Research Areas, including Blockchain, recent ML techniques, Evolutionary Algorithms, Large Language Model (LLM)-based Generative AI, the Internet of Things, Big Data, Decision Support Systems, Taguchi design of experiments, data augmentation, and Cross-Validation, and representative case studies. The appendix covers representative AI tools, data sources, books, and journals on AI. The present book can support undergraduate, postgraduate, and Ph.D. students in Artificial Intelligence, Generative Artificial Intelligence, Machine Learning, Data Sciences, Soft Computing, and Fuzzy Logic in Engineering and Management and allied fields. The proposed book has immense value in the interdisciplinary and cross-disciplinary context.
Details
- Publisher
- Springer Nature Singapore
- Authors
- Komaragiri Srinivasa Raju, Dasika Nagesh Kumar
- Format
- Hardcover
- Published
- May 22, 2025
- ISBN-13
- 9789819626205
- Pages
- 266
- Printing
- Printed on demand
Artificial Intelligence and Machine Learning Techniques in Engineering and Management for groups: pricing
Volume pricing applies automatically in your cart. No codes, no account needed.
| Copies | Price per copy | You save |
|---|---|---|
| 25 – 49 | $87.99 | 12% off list |
| 50 – 99 | $86.99 | 13% off list |
| 100+ | $85.99 | 14% off list |
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