tiagomonteiro0715/The-Math-Behind-Artificial-Intelligence-A-Guide-to-AI-Foundations
A book on the mathematical foundations of AI from an engineering perspective.
This book helps aspiring AI engineers and practitioners understand the mathematical principles behind artificial intelligence. It takes complex mathematical concepts like linear algebra, calculus, and probability, and explains how they form the building blocks for AI algorithms. Readers will gain a practical understanding of how theoretical math is applied in real-world AI systems, with accompanying Python code examples and visualizations.
118 stars.
Use this if you are an AI student, self-taught developer, or practitioner who wants to grasp the mathematical foundations of AI from an engineering perspective, with clear explanations and practical applications.
Not ideal if you are a pure mathematician seeking a rigorous, theoretical textbook written by mathematicians for mathematicians, or if you already have a deep understanding of AI's underlying math.
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118
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23
Language
Python
License
MIT
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Last pushed
Jan 23, 2026
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