THE GLOSSARY OF ARTIFICIAL INTELLIGENCE

This isn’t just a glossary of definitions—it’s a guide to understanding how AI is applied in the real world. From machine learning to neural networks, optimization to generative models, this book connects theory to practical use, helping you understand not only the language but also how these concepts are driving change in technology today.

WHO WILL BENEFIT FROM THIS BOOK?

• Entrepreneurs ➜ If you’re launching or scaling a tech business, having a solid understanding of AI is crucial. This book helps you get to grips with the essential terms and how they relate to real-world applications in tech.

• Investors ➜ Whether you’re evaluating AI companies or deciding where to place your money, knowing how these terms translate into tangible innovations will help you make smarter investment decisions.

• Developers & Engineers ➜ This book is a quick-reference guide to the key concepts you need to implement AI solutions, from neural network design to optimization—with clear, real-world examples.

• Journalists ➜ Reporting on AI can be tricky, but with The Glossary of Artificial Intelligence, you’ll have a clear understanding of how these concepts impact industries like healthcare, finance, and more.

• Students & Learners ➜ Whether you’re just starting out in AI or looking to deepen your knowledge, this book will provide the foundation you need, explaining concepts with an eye on how they’re used in practical applications.

WHAT’S INSIDE

The Glossary of Artificial Intelligence isn’t just about definitions—it’s a practical, real-world guide. With over 500 terms explained, this book takes a hands-on approach to understanding the field of AI. Each concept is explained in simple language, with a focus on real-world applications so you can see how AI is actually used in industries like finance, healthcare, and robotics.

• Neural Networks ➜ Not just what they are, but how they are used in applications from autonomous driving to speech recognition.

• Machine Learning ➜ A breakdown of how machine learning powers everything from personalized recommendations to predictive analytics.

• Generative Models ➜ Learn about GANs and other models that are behind everything from artificial media to drug discovery.

This book is more than just theory—it connects each concept to practical use, showing you exactly how the terms are applied in industries that are driving innovation today.

And to help clarify complex ideas, infographics are included throughout the book to visualize everything from AI workflows to model structures, giving you a clearer picture of how AI works in the real world.