Essential Math for AI: Exploring Linear Algebra, Probability and Statistics, Calculus, Graph Theory, Discrete Mathematics, Numerical Methods, Optimization Techniques, and More (AI Fundamentals)
Essential Math for AI surveys the mathematical foundations connected to artificial intelligence. It covers linear algebra, probability and statistics, calculus, graph theory, discrete mathematics, numerical methods, optimization techniques, and more, offering a broad foundation for exploring the concepts that support AI study and practice.
About This Book
Essential Math for AI presents a wide-ranging overview of mathematical topics associated with artificial intelligence.
The book covers linear algebra, probability and statistics, calculus, graph theory, discrete mathematics, numerical methods, and optimization techniques.
Designed around AI fundamentals, it brings these core areas together in one accessible mathematical reference.
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