{"product_id":"the-mathematical-methods-of-artificial-intelligence-purpose-role-and-real-world-application-9789999345422","title":"The Mathematical Methods of Artificial Intelligence: Purpose, Role, and Real-World Application","description":"\u003cp\u003e • Author(s): Hafidha Sebbagh\u003cbr\u003e • Publisher: Eliva Press\u003cbr\u003e • Publisher Imprint: Eliva Press\u003cbr\u003e • BISAC: General\u003c\/p\u003e\u003cp\u003eThe Mathematical Methods of Artificial Intelligence Purpose, Role, and Real-World Application Beneath every chatbot, recommendation engine, and image classifier lies not a single mysterious algorithm - but a small, precise set of mathematical methods, each doing a specific job. This book names them, explains them, and shows exactly where they work inside systems you use every day. \"The mystery, on inspection, resolves into a toolkit - and this book is a guide to the tools.\" Twelve chapters, one method each. Linear algebra encodes a Netflix film as a vector of hidden tastes. Calculus finds the direction of improvement inside a training loop. Gradient descent walks that direction, step by step, until a language model learns to predict language as people actually write it. Probability turns uncertain evidence into a Gmail spam decision. Information theory supplies the very measure of error that trains ChatGPT. And logic - the oldest method of all - still guarantees, with mathematical certainty, that aircraft software will never fail in a way no test ever caught. Every chapter follows the same structure: definition - purpose - role in AI - key formulas - one real system. Read in sequence, the chapters build from foundation upward. Read singly, each stands as a self-contained reference. No advanced background is assumed beyond basic algebra and a willingness to read an equation as a compact sentence. Inside this book: Linear algebra → Netflix recommendations - Calculus → Image classifier training - Gradient descent → GPT-family LLMs - Probability → Gmail spam filter - Statistics → A\/B testing at scale - Information theory → ChatGPT word prediction - Regression → Credit scoring (FICO) - Distance \u0026amp; similarity → Spotify playlists - Neural networks → Voice assistants (Siri) - Dimensionality reduction → Eigenfaces \u0026amp; face ID - Graph theory → Google PageRank - Logic \u0026amp; symbols → Formal verification.\u003c\/p\u003e","brand":"Eliva Press","offers":[{"title":"Paperback","offer_id":48226809774231,"sku":"9789999345422","price":5337.0,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9789999345422.webp?v=1788771913","url":"https:\/\/atlanticbooks.com\/products\/the-mathematical-methods-of-artificial-intelligence-purpose-role-and-real-world-application-9789999345422","provider":"Atlantic Books","version":"1.0","type":"link"}