In today's data-driven era, the convergence of mathematics, computing, artificial intelligence, and blockchain is emerging as a significant area at the intersection of applied mathematics and computer science, particularly in decision-making. This book explores the applications of advanced mathematical models and computational algorithms to AI-driven strategies and blockchain technologies.
It covers advanced linear algebra techniques, probability theory, optimization methods, game theory, cryptography, and statistical learning, providing deep mathematical insights into AI, blockchain, and data-driven decision-making. The book delves into matrix computations and eigenvalue problems relevant to deep learning, Bayesian inference for predictive modeling, and reinforcement learning for dynamic decision-making.
Additionally, optimization methods such as convex programming and Lagrangian multipliers enhance resource allocation, while cryptographic protocols ensure the security of blockchain systems. By integrating these mathematical frameworks, this book provides researchers, professionals, and students with practical tools for addressing complex business challenges ranging from fraud detection to automated contract execution.
eBook - ePub
Mathematical Methods in Artificial Intelligence
Intelligent Systems
- 609 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Mathematical Methods in Artificial Intelligence
Intelligent Systems
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Information
Index
MathematicsTable of contents
- Title Page
- Copyright
- Contents
- Frontmatter
- Contents
- Theme 1: Algorithm Optimization
- Theme 2: Blockchain
- Theme 3: Cryptography
- Theme 4: Cybersecurity
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Yes, you can access Mathematical Methods in Artificial Intelligence by Abhishek Kumar,Reyes Juárez Ramírez,Maria de los Angeles Quezada,Dhaya Chinnathambi in PDF and/or ePUB format, as well as other popular books in Mathematics & Statistics for Business & Economics. We have over 1.5 million books available in our catalogue for you to explore.