AI Engineering for Beginners : A Practical Guide to Building Intelligent Systems from the Ground Up
Language: English
Published by Applebee Press, 2025
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 22.45
Quantity: 2 available
Add to basketItem description from seller
nach der Bestellung gedruckt Neuware - Printed after ordering - Ready to dive into the world of artificial intelligence-but not sure where to start This beginner-friendly guide gives you the tools, confidence, and clear step-by-step strategies to build real-world AI systems from scratch-no PhD required.Whether you're a curious learner, career changer, or aspiring developer, AI Engineering for Beginners walks you through the essentials of machine learning, neural networks, data pipelines, model deployment, and responsible AI practices. You'll build your first models, learn the tools professionals use, and gain the skills to pursue a career in one of the most exciting fields in tech.Inside this book, you'll learn:What AI engineering is-and how it's different from research or data scienceHow machine learning works (including supervised, unsupervised, and reinforcement learning)How to collect, clean, and prepare real-world dataHow to build, train, and evaluate your own AI modelsHow to deploy models using tools like Docker, FastAPI, and cloud platformsHow to think critically about AI ethics, bias, and transparencyWhat jobs exist in AI-and how to build a portfolio that gets you hiredWritten in a friendly, accessible style inspired by bestselling educators, this book turns intimidating concepts into understandable, actionable knowledge. Whether you're just curious or ready to start building, AI Engineering for Beginners is your launchpad into the future of intelligent systems.…
Seller Inventory # 9798231765492
- Title
- AI Engineering for Beginners : A Practical Guide to Building Intelligent Systems from the Ground Up
- Author
- James Douglas
- Publisher
- Applebee Press
- Publication year
- 2025
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 13
- 9798231765492
- Item weight
- 113 grams
- Dimensions
- 203x127x6 mm
Ready to dive into the world of artificial intelligence-but not sure where to start?
This beginner-friendly guide gives you the tools, confidence, and clear step-by-step strategies to build real-world AI systems from scratch-no PhD required.
Whether you're a curious learner, career changer, or aspiring developer, AI Engineering for Beginners walks you through the essentials of machine learning, neural networks, data pipelines, model deployment, and responsible AI practices. You'll build your first models, learn the tools professionals use, and gain the skills to pursue a career in one of the most exciting fields in tech.
Inside this book, you'll learn:
- What AI engineering is-and how it's different from research or data science
- How machine learning works (including supervised, unsupervised, and reinforcement learning)
- How to collect, clean, and prepare real-world data
- How to build, train, and evaluate your own AI models
- How to deploy models using tools like Docker, FastAPI, and cloud platforms
- How to think critically about AI ethics, bias, and transparency
- What jobs exist in AI-and how to build a portfolio that gets you hired
Written in a friendly, accessible style inspired by bestselling educators, this book turns intimidating concepts into understandable, actionable knowledge. Whether you're just curious or ready to start building, AI Engineering for Beginners is your launchpad into the future of intelligent systems.
"Synopsis" may belong to another edition of this title.
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