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{ "item_title" : "Math Equations for AI", "item_author" : [" Peter I. Kattan "], "item_description" : "Math Equations for AI is a concise reference containing 400 essential mathematical formulas that power modern artificial intelligence, machine learning, and data science. Covering calculus, trigonometry, analytic geometry, complex numbers, series, and fundamental functions, this compact guide provides the mathematical language behind optimization, neural networks, and computational modeling. Designed for students, researchers, and professionals, the book delivers clear, accessible equations without unnecessary theory-making it an ideal quick reference for learning, coding, and real-world AI applications. Part I of this book includes equations for vectors and linear algebra, probability and statistics, optimization and learning, neural networks, and information theory.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/9/79/829/564/9798295642494_b.jpg", "price_data" : { "retail_price" : "9.95", "online_price" : "9.95", "our_price" : "9.95", "club_price" : "9.95", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Math Equations for AI|Peter I. Kattan

Math Equations for AI : 400 Essential Mathematical Formulas for Machine Learning, Data Science, and Intelligent Systems

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Overview

Math Equations for AI is a concise reference containing 400 essential mathematical formulas that power modern artificial intelligence, machine learning, and data science. Covering calculus, trigonometry, analytic geometry, complex numbers, series, and fundamental functions, this compact guide provides the mathematical language behind optimization, neural networks, and computational modeling. Designed for students, researchers, and professionals, the book delivers clear, accessible equations without unnecessary theory-making it an ideal quick reference for learning, coding, and real-world AI applications. Part I of this book includes equations for vectors and linear algebra, probability and statistics, optimization and learning, neural networks, and information theory.

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Details

  • ISBN-13: 9798295642494
  • ISBN-10: 9798295642494
  • Publisher: Kattan
  • Publish Date: February 2026
  • Dimensions: 9 x 6 x 0.17 inches
  • Shipping Weight: 0.23 pounds
  • Page Count: 70

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