Mathematical modeling modern applications (4 Ergebnisse)
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Taschenbuch. Zustand: Neu. Neuware - Modeling Intelligence Systems: Build a Strong Mathematical Foundation for Artificial Intelligence, Machine Learning, Deep Learning, and Modern AI Applications Have you ever wondered what truly powers ChatGPT, autonomous vehicles, recommendation systems, facial recognition, or modern AI assist…ants Behind every intelligent system lies mathematics. If you've tried learning AI before and felt overwhelmed by complex equations or disconnected theory, you're not alone. The good news is that understanding the mathematics behind AI doesn't have to be intimidating-it simply requires the right guide. Modeling Intelligence Systems is a practical, beginner-friendly guide that explains the mathematical principles behind Artificial Intelligence, Machine Learning, and Deep Learning using clear language, intuitive explanations, and real-world examples. Rather than asking you to memorize formulas, this book helps you understand why they matter and how they are used to build intelligent systems. Whether you're a student, software developer, data scientist, AI enthusiast, or working professional, you'll develop the confidence to understand modern AI from the ground up. Inside this book, you'll learn the essential mathematics that powers today's AI systems, including linear algebra, calculus, probability, statistics, optimization, feature engineering, neural networks, deep learning, transformers, large language models, computer vision, reinforcement learning, recommendation systems, AI agents, model deployment, responsible AI, and the future of intelligent systems. Each topic is explained with practical examples, mathematical intuition, working code samples where appropriate, and exercises that reinforce your understanding. By the time you finish this book, you'll be able to read AI literature with greater confidence, understand how modern algorithms learn from data, make better technical decisions, and build a strong foundation for advanced topics in machine learning and artificial intelligence. Instead of relying solely on libraries and frameworks, you'll understand the mathematical ideas that make them work. Artificial intelligence is transforming software development, healthcare, finance, cybersecurity, education, manufacturing, robotics, and countless other industries. The professionals who understand both the theory and the practical application of AI will be best positioned to take advantage of these opportunities. Building that foundation today will prepare you for the technologies shaping tomorrow. If you're ready to move beyond using AI tools and start understanding the mathematics that powers them, scroll up and click 'Buy Now' to begin building a solid foundation in artificial intelligence today.
Sprache: Englisch
Verlag: Springer, 2026
Serie: Buch 413 von 464 - Springer Proceedings in Mathematics & Statistics
- Softcover
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Taschenbuch. Zustand: Neu. Mathematical Modeling with Modern Applications | M3A24, ¿stanbul, Türkiye, June 4-6, 2024 | Khalide Jbilou (u. a.) | Taschenbuch | Springer Proceedings in Mathematics & Statistics | viii | Englisch | 2026 | Springer | EAN 9783031890437 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergart…enstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - his book contains selected, peer-reviewed articles presented at the International Conference on Mathematical Modeling and Modern Applications (M3A_24), held in Istanbul, Türkiye, on June 4 6 2024. The selected articles are all real-life problem orien…ted and present numerical methods from the following fields: partial differential equations, approximation, applied linear and multilinear algebra, probability and statistics, artificial intelligence and deep learning. The developed tools are of special interest for understanding and taking an active part into the challenges posed by the increasing needs of the industry. A special focus is given to the large-scale methods in response to massive amount of data to process in many problems. Each article contains an initial section enabling non-specialists to grasp the issues at stake in the problem under consideration, as well as theoretical reminders and references enabling readers to deepen their understanding. This will enable researchers to present their advances, while at the same time allowing them to be disseminated to industry and students.
Sprache: Englisch
Verlag: Springer, 2025
Serie: Buch 413 von 464 - Springer Proceedings in Mathematics & Statistics
- Hardcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 230,55
EUR 30,50 VersandVersand von Deutschland nach USAAnzahl: 1 verfügbar
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - his book contains selected, peer-reviewed articles presented at the International Conference on Mathematical Modeling and Modern Applications (M3A_24), held in Istanbul, Türkiye, on June 4 6 2024. The selected articles are all real-life problem oriented and… present numerical methods from the following fields: partial differential equations, approximation, applied linear and multilinear algebra, probability and statistics, artificial intelligence and deep learning. The developed tools are of special interest for understanding and taking an active part into the challenges posed by the increasing needs of the industry. A special focus is given to the large-scale methods in response to massive amount of data to process in many problems. Each article contains an initial section enabling non-specialists to grasp the issues at stake in the problem under consideration, as well as theoretical reminders and references enabling readers to deepen their understanding. This will enable researchers to present their advances, while at the same time allowing them to be disseminated to industry and students.
