AI Foundations: A Beginner’s Guide to Artificial Intelligence, Machine Learning Concepts, Essential Math, and Real-World Applications with Python and R - Couverture souple

Alexander, Sebastian P.J

Couverture souple

ISBN 13 : 9798254211051

Editeur : Independently published, 2026

Synopsis

Unlock the world of Artificial Intelligence, without the confusion.

AI Foundations: Concepts, Math, and Real-World Applications is your clear, practical entry point into AI. This book breaks down complex ideas into simple, actionable insights, covering machine learning, deep learning, essential math, real-world applications, and the future of AI.

You won’t just learn theory, you’ll understand how AI actually works and how to apply it using Python and R.

Inside this book, you’ll discover:

• Core AI concepts explained in plain language

• Machine learning and deep learning fundamentals

• Essential math made intuitive (no heavy formulas)

• Real-world AI applications across industries

• Practical examples to build real understanding

• Ethical considerations and future trends

Whether you're a beginner, developer, student, or professional looking to transition into AI, this book gives you a solid foundation without overwhelming you.

If you want to understand AI, not just talk about it, this book is for you.

Start your AI journey today and build the knowledge that powers the future.

Détails de l'édition

• Éditeur: Independently published
• Date d'édition: 2026
• Langue: anglais
• ISBN 13: 9798254211051
• Reliure: Broché
• Nombre de pages: 270
• Coordonnées du fabricant: Manufactured by Amazon on behalf of the author; https://www.amazon.fr/hz/contact-us; ; c/o Amazon Media EU S.à.r.l., 38 Avenue John F. Kennedy; Luxembourg; L-1855; Luxembourg