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Lieferstatus:	i.d.R. innert 14-24 Tagen versandfertig
Veröffentlichung:	Juli 1905
Genre:	Schulbücher
	MATHEMATICS / General
ISBN:	9789999345422
EAN-Code:	9789999345422
Verlag:	Eliva Press
Einband:	Kartoniert
Sprache:	English
Dimensionen:	H 229 mm / B 152 mm / D 4 mm
Gewicht:	105 gr
Seiten:	68
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

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.