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Beschreibung
This book is the essential roadmap for anyone eager to grasp the foundational principles of artificial intelligence: no technical background required.
AI Design: A Beginner’s Guide
demystifies core AI technologies by blending approachable language, clear analogies, and straightforward coding examples. Readers journey from the basics of teaching computers to "think" like humans, through the… essential methods of machine learning: including supervised and unsupervised learning, neural networks, natural language processing, and the transformative power of models such as Transformers and LLMs. Alongside conceptual explanations, practical examples and code snippets allow readers to be hands-on, building real models for tasks like classification, clustering, and sentiment analysis: all without needing an advanced background in mathematics or programming.
Distinguished Google engineer Antonio Gulli fills a growing need for an approachable, technically accurate introduction to AI that demystifies key concepts for beginners, students, and professionals from non-technical backgrounds. Emphasizing intuition before theory and using narrative and visualization to sustain engagement, each chapter reinforces conceptual understanding with practical examples illustrating how computers “learn” patterns from data. No prior coding or mathematical background is required; minimal familiarity with computers or Python basics suffices.
The book’s friendly writing style, relatable analogies, and logical progression ensure that concepts stick, while highlighting both the potential and the limitations of today’s AI. Readers finish the book with the tools and confidence to not only understand AI, but to create — and critique — its applications in the real world. Dieses Produkt haben wir gerade leider nicht auf Lager.
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Technische Daten
Erscheinungsdatum
13.04.2026
Sprache
Englisch
EAN
9783032159731
Herausgeber
Springer International Publishing
Sonderedition
Nein
Autor
Antonio Gulli
Einbandart
Broschiert
Buch Untertitel
A Beginner’s Guide to Building Intelligence Through Patterns
Schlagwörter
Artificial Intelligence, Deep Learning, Neural Networks, Supervised Learning, Reinforcement Learning, AI Basics, Python, Large Language Models, Data Science, Transformers
Thema-Inhalt
UYQ - Künstliche Intelligenz
UYQM - Maschinelles Lernen
UYA - Theoretische Informatik
UKP - Personal Computer
UYQL - Natürliche Sprachen und maschinelle Übersetzung
Höhe
235 mm
Breite
15.5 cm
Hersteller: Springer-Verlag GmbH, ProductSafety@springernature.com, Springer Nature Customer Service Center GmbH
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