Erhältlich:
Nicht auf Lager
Buch (Softcover): Fachbuch
The Mathematical Methods of Artificial Intelligence
Purpose, Role, and Real-World Application
Produkt bewerten
Verlag:
Eliva Press Unsere-Artikel-Nr.: P35486760
EAN: 9789999345422
Erhältlich:
Nicht auf Lager
Zustellung: Mo, 31.08.2026
Versand: Kostenlos
-8.6 %
CHF 81.–
CHF 74.–
Beschreibung
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.
Spezifikationen
Sprache
- Englisch
Autor
- Hafidha Sebbagh
Erscheinungsjahr
- 1905
Format
- Buch (Softcover)
Anzahl Seiten
- 68