Engineering mathematics and artificial intelligence : foundations, methods, and applications /
"Engineering Mathematics and Artificial Intelligence: Foundations, Methods, and Applications discusses the theory behind Machine Learning and shows how Mathematics can be used in Artificial Intelligence. The book illustrates how to improve existing algorithms by using advanced Mathematics and o...
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Group Author: | ; ; ; |
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Published: |
CRC Press, Taylor and Francis Group,
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Publisher Address: | Boca Raton, FL : |
Publication Dates: | 2024. |
Literature type: | Book |
Language: | English |
Edition: | First edition. |
Series: |
Mathematics and its applications : modelling, engineering, and social sciences
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Subjects: | |
Summary: |
"Engineering Mathematics and Artificial Intelligence: Foundations, Methods, and Applications discusses the theory behind Machine Learning and shows how Mathematics can be used in Artificial Intelligence. The book illustrates how to improve existing algorithms by using advanced Mathematics and offers cutting-edge Artificial Intelligence technologies. The book goes on to discuss how Machine Learning can support mathematical modeling and how to simulate data by using artificial neural networks. Future integration between Machine Learning and complex mathematical techniques is also highlighted within the book"-- |
Carrier Form: | xvi, 513 pages : illustrations ; 24 cm. |
Bibliography: | Includes bibliographical references and index. |
ISBN: |
9781032255675 1032255676 9781032255682 1032255684 |
Index Number: | TA347 |
CLC: |
TP18 TB11 |
Call Number: | TB11/E578-1 |
Contents: |
Multiobjective optimization: an overview / Inverse problems / Decision tree for classification and forecasting / A review of choice topics in quantum computing and some connections with machine learning / Sparse models for machine learning / Interpretability in machine learning / Big data: concepts, techniques, and considerations / A machine of many faces: on the issue of interface in Artificial Intelligence and tools from user experience / Artificial Intelligence technologies and platforms / Artificial neural networks / Bryson Boreland, Herb Kunze, Kimberly M. Levere -- Multicriteria optimization in deep learning / Natural language processing: current methods and challenges / AI and Imaging in remote sensing / AI in agriculture / AI and cancer imaging / AI in ecommerce: from Amazon and TikTok, GPT-3 and LaMDA, to the Metaverse and beyond / The difficulties of clinical NLP / Inclusive green growth in OECD countries: insight from the Lasso Regularization and Inferential Techniques / Quality assessment of medical images / Securing machine learning models: notions and open issues / |