Mathematical Methods Artificial Intelligence by Sebbagh Hafidha (10 results)

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Paperback. Condition: new. Paperback. The 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 & similarity Spotify playlists - Neural networks Voice assistants (Siri) - Dimensionality reduction Eigenfaces & face ID - Graph theory Google PageRank - Logic & symbols Formal verification. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 68 pp. Englisch.

Paperback. Condition: new. Paperback. The 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 & similarity Spotify playlists - Neural networks Voice assistants (Siri) - Dimensionality reduction Eigenfaces & face ID - Graph theory Google PageRank - Logic & symbols Formal verification. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Paperback. Condition: new. Paperback. The 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 & similarity Spotify playlists - Neural networks Voice assistants (Siri) - Dimensionality reduction Eigenfaces & face ID - Graph theory Google PageRank - Logic & symbols Formal verification. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The 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 & similarity ¿ Spotify playlists Neural networks ¿ Voice assistants (Siri) Dimensionality reduction ¿ Eigenfaces & face ID Graph theory ¿ Google PageRank Logic & symbols ¿ Formal verification.…

Taschenbuch. Condition: Neu. The Mathematical Methods of Artificial Intelligence | Purpose, Role, and Real-World Application | Hafidha Sebbagh | Taschenbuch | Englisch | Eliva Press | EAN 9789999345422 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. …