Price: $19.99
(as of Oct 03, 2024 04:52:47 UTC – Details)

Are you eager to learn about AI but unsure where to start? Overwhelmed by the constant stream of new innovations?

“THE AI GLOSSARY” simplifies artificial intelligence with 101 essential terms, explained in clear, non-technical language.

Discover key concepts from “Artificial Intelligence” and “Machine Learning” to groundbreaking technologies like “ChatGPT” and “DALL-E.” This glossary is designed to inform, enlighten, inspire, and empower you.

Whether you’re a student, a professional, or simply curious about the future, this book transforms complex AI jargon into accessible knowledge, guiding you through the fascinating world of artificial intelligence.

Authored by Richard R. Khan, a seasoned expert with over 25 years of experience in technology, this book offers reliable insights drawn from his extensive background. Khan holds a Master’s degree in Business Administration and Artificial Intelligence from the University of Cumbria and is currently a doctoral candidate at Golden Gate University, specializing in Emerging Technologies and Generative AI.

Unlock the power of AI and enhance your understanding today!

From the Publisher

Learn about AI through intuitive language and engaging illustrations like the sample ones below

Accuracy

Think about playing a game of darts. Your goal is to hit the bullseye, and every time you hit it or get close, you score points. In this game, your accuracy is determined by how many of your throws hit the target area. Similarly, in AI and machine learning, “Accuracy” measures how often the model’s predictions are correct.

Deep Learning

To grasp the concept of Deep Learning, let’s compare it to learning a complex skill, like playing a musical instrument. When you first start learning, you begin with the basics, gradually layering on more and more complex skills. Over time, you understand not just the notes, but the nuances and styles of music. Deep Learning in Artificial Intelligence (AI) and Machine Learning (ML) works similarly, where machines learn from basic to increasingly complex patterns.

Feature Engineering

Let’s think of Feature Engineering in Artificial Intelligence (AI) and Machine Learning (ML) as a chef preparing ingredients for a recipe. Just as a chef carefully selects, cuts, and seasons ingredients to create a delicious dish, Feature Engineering is about selecting, preparing, and transforming data to make it more suitable for machine learning models.

Publisher ‏ : ‎ Library and Archives Canada (April 8, 2024)
Language ‏ : ‎ English
Paperback ‏ : ‎ 308 pages
ISBN-10 ‏ : ‎ 1738383423
ISBN-13 ‏ : ‎ 978-1738383429
Reading age ‏ : ‎ 14 – 18 years
Item Weight ‏ : ‎ 1.95 pounds
Dimensions ‏ : ‎ 8.5 x 0.7 x 11 inches