Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↑ Price chart
when this has been cheap or pricey

↑ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price Distribution

Price distribution over 50 days • 1 price levels

Days at Price

Price Analysis

Most common price: £82 (50 days, 100.0%)

Price range: £82 - £82

Price levels: 1 different prices over 50 days

Description

Mathematics for AI and Machine Learning is a comprehensive, graduate-level textbook that provides the rigorous mathematical foundations essential for understanding modern artificial intelligence and machine learning systems. Companion Website: https://math4ai.org The book spans 21 chapters organized into four parts. Part I (Chapters 1–10) covers linear algebra fundamentals: vector spaces, inner products, matrix operations, subspaces, orthogonality, QR decomposition, LU factorization, eigendecomposition, symmetric matrices, and the Singular Value Decomposition (SVD)—establishing the mathematical foundation for representation in AI. Part II (Chapters 11–12) addresses differentiation and optimization: matrix calculus with gradients and Hessians, and optimization methods including gradient descent and its variants—formalizing learning as structured search in parameter space. Part III (Chapters 13–16) introduces probability and information theory: probability and random variables, entropy and KL divergence, the Evidence Lower Bound (ELBO), variational inference and latent variable models, and Bellman equations for reinforcement learning—shifting the perspective from fitting functions to modeling distributions. Part IV (Chapters 17–21) ventures into score functions, dynamics, and diffusion: score functions and energy-based models, Langevin dynamics and sampling methods, stochastic differential equations with Itô calculus, ODE/SDE continuous limits of algorithms, and Fokker-Planck equations governing distribution dynamics—framing generative modeling as the study of distributional dynamics. What distinguishes this textbook is its seamless integration of mathematical rigor with practical AI/ML applications. Each concept is motivated by real-world problems in machine learning, deep learning, large language models, graph neural networks, reinforcement learning, and modern generative frameworks. The full-color figures illuminate complex ideas, while extensive exercises reinforce understanding. Designed for graduate students, researchers, and experienced practitioners, this book serves as both a learning resource and a comprehensive reference. Whether you're building foundation models, researching novel architectures, or seeking deeper understanding of the mathematics powering AI systems, this textbook provides the essential theoretical toolkit.

Product Specifications

Format: paperback
ASIN: B0GSXVFMLD
Category: Books > Subjects > Science, Nature & Maths > Mathematics > Education > Higher Education
Domain: Amazon UK
Release Date: 15 March 2026
Listed Since: 18 March 2026

Barcode

No barcode data available

It has never been this cheap. We have no record of a lower price.

MATHEMATICS FOR AI AND MACHINE LEARNING: A Comprehensive Mathematical Reference for Artificial Intelligence and Machine Learning

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Artificial Intelligence and Machine Learning for Industry 4.0

AI & ML - THEORETICAL APPROACH: Artificial Intelligence and Machine Learning

AI, Machine Learning, and IoT for Communication and Medical Applications

Artificial Intelligence and Machine Learning

Data Analytics and Artificial Intelligence for Predictive Maintenance in Industry 4.0

Data Analytics and Artificial Intelligence for Predictive Maintenance in Industry 4.0

Machine Learning Concepts for Beginners: Theory and Applications

Mastering Data Science with R and SAS: Comprehensive Statistical Modeling and Practical Applications

Wiley Mastering Machine Learning and Deep Learning Book

Machine Learning in Biomedical and Health Informatics: Current Applications and Challenges (AAP Research Notes on Optimization and Decision Making Theories)

Advanced Machine Learning, AI, and Cybersecurity in Web3: Theoretical Knowledge and Practical Application (Advances in Web Technologies and Engineering)

Artificial Intelligence and Machine Learning in Data Science and Analytics

Handbook of Artificial Intelligence for Smart City Development: Management Systems and Technology Challenges (Big Data for Industry 4.0)

Machine Learning and Data Science: Fundamentals and Applications

Advanced Interdisciplinary Applications of Machine Learning Python Libraries for Data Science

Mathematical Methods in Pattern and Image Analysis (Proceedings of SPIE)

Handbook of Research on Machine Learning: Foundations and Applications

AI and Machine Learning for Games: AI-Assisted Lore Creation and Game World Development

Artificial Intelligence in Education: The Intersection of Technology and Pedagogy (Intelligent Systems Reference Library, 261)

Trends in Mechatronics Systems: Industry 4.0 Perspectives (Emerging Trends in Mechatronics)

Applied Informatics for Industry 4.0

Transformative Healthcare Solutions Powered by AI & ML (Applied Artificial Intelligence in Data Science, Cloud Computing and IoT Frameworks)

Multidisciplinary Approaches in AI, Creativity, Innovation, and Green Collaboration (Advances in Environmental Engineering and Green Technologies)

Architecting Intelligent Data Systems: From Big Data Infrastructure to Advanced Analytics and AI

It has never been this cheap. We have no record of a lower price.

MATHEMATICS FOR AI AND MACHINE LEARNING: A Comprehensive Mathematical Reference for Artificial Intelligence and Machine Learning

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Artificial Intelligence and Machine Learning for Industry 4.0

AI & ML - THEORETICAL APPROACH: Artificial Intelligence and Machine Learning

AI, Machine Learning, and IoT for Communication and Medical Applications

Artificial Intelligence and Machine Learning

Data Analytics and Artificial Intelligence for Predictive Maintenance in Industry 4.0

Data Analytics and Artificial Intelligence for Predictive Maintenance in Industry 4.0

Machine Learning Concepts for Beginners: Theory and Applications

Mastering Data Science with R and SAS: Comprehensive Statistical Modeling and Practical Applications

Wiley Mastering Machine Learning and Deep Learning Book

Machine Learning in Biomedical and Health Informatics: Current Applications and Challenges (AAP Research Notes on Optimization and Decision Making Theories)

Advanced Machine Learning, AI, and Cybersecurity in Web3: Theoretical Knowledge and Practical Application (Advances in Web Technologies and Engineering)

Artificial Intelligence and Machine Learning in Data Science and Analytics

Handbook of Artificial Intelligence for Smart City Development: Management Systems and Technology Challenges (Big Data for Industry 4.0)

Machine Learning and Data Science: Fundamentals and Applications

Advanced Interdisciplinary Applications of Machine Learning Python Libraries for Data Science

Mathematical Methods in Pattern and Image Analysis (Proceedings of SPIE)

Handbook of Research on Machine Learning: Foundations and Applications

AI and Machine Learning for Games: AI-Assisted Lore Creation and Game World Development

Artificial Intelligence in Education: The Intersection of Technology and Pedagogy (Intelligent Systems Reference Library, 261)

Trends in Mechatronics Systems: Industry 4.0 Perspectives (Emerging Trends in Mechatronics)

Applied Informatics for Industry 4.0

Transformative Healthcare Solutions Powered by AI & ML (Applied Artificial Intelligence in Data Science, Cloud Computing and IoT Frameworks)

Multidisciplinary Approaches in AI, Creativity, Innovation, and Green Collaboration (Advances in Environmental Engineering and Green Technologies)

Architecting Intelligent Data Systems: From Big Data Infrastructure to Advanced Analytics and AI