Collection: Books » Mathematics
Unlock the beauty and logic of numbers with our collection of mathematics books. From foundational topics like algebra, geometry, and calculus to advanced fields such as statistics, applied mathematics, and theoretical models, these books make math accessible, engaging, and deeply rewarding.
Perfect for learners at every level — from students building core skills to professionals exploring complex concepts — these titles offer clear explanations, practical examples, and real-world applications. Whether you’re studying for exams, teaching in the classroom, or simply exploring the elegance of mathematical thinking, this collection provides the tools and insights to help you succeed.
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The Proof in the Code: How a Truth Machine Is Transforming Math and AI - Hardcover
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An Investigation of the Laws of Thought, on Which are Founded the Mathematical Theories of Logic and Probabilities - Paperback
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Law as Data: Computation, Text, & the Future of Legal Analysis - Hardcover
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Linear Algebra, Data Science, and Machine Learning - Hardcover
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Essential Math for AI: Exploring Linear Algebra, Probability and Statistics, Calculus, Graph Theory, Discrete Mathematics, Numerical Methods, Optimiza - Hardcover
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Abstract Algebraic Logic. An Introductory Textbook - Paperback
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Time Series Forecasting Using Generative AI: Leveraging AI for Precision Forecasting - Paperback
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Architecting Enterprise AI Applications: A Guide to Designing Reliable, Scalable, and Secure Enterprise-Grade AI Solutions - Paperback
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Linear Algebra for Data Science, Machine Learning, and Signal Processing - Hardcover
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The Early-Career Professional's Guide to Generative AI: Opportunities and Challenges for an Ai-Enabled Workforce - Paperback
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A Gentle Introduction to Quantum Machine Learning - Hardcover
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An Introduction to Statistical Learning: With Applications in R - Hardcover
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An Investigation of the Laws of Thought, on Which are Founded the Mathematical Theories of Logic and Probabilities - Hardcover
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AI Foundations and Applications with MATLAB - Paperback
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Deep Generative Modeling - Hardcover
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Databricks Data Intelligence Platform: Unlocking the Genai Revolution - Paperback
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Large Language Models: A Deep Dive: Bridging Theory and Practice - Hardcover
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Essential Math for AI: Exploring Linear Algebra, Probability and Statistics, Calculus, Graph Theory, Discrete Mathematics, Numerical Methods, Optimiza - Paperback
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Deep Learning Architectures: A Mathematical Approach - Paperback
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The Lambda Calculus. Its Syntax and Semantics - Paperback
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Pattern Recognition and Machine Learning - Paperback
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The Mathematics of Artificial Intelligence for High Schoolers - Paperback
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Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python - Paperback
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An Introduction to Statistical Learning: With Applications in R - Paperback
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The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World - Paperback
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Why Machines Learn: The Elegant Math Behind Modern AI - Paperback
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Why Machines Learn: The Elegant Math Behind Modern AI - Hardcover
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