The Handy Artificial Intelligence Answer Book: Machine Learning and the Rise of Intelligent Technology

What is artificial intelligence? How does it work? Who is behind it? What can we expect from it in the future? Good questions, and we have the answers!

Artificial intelligence is popping up everywhere: in Google searches, calls to customer service, and in healthcare, education, and personal assistants—to name just five. It’s rapidly changing businesses and our lives. Covering the basics, its history, and the science behind it, The Handy Artificial Intelligence Answer Book is the perfect starting point to understanding the emerging AI revolution, what is currently possible, what might be possible in the future—and what’s just hype. Tackling what has been, what is, and what will be—and the “what ifs”—of AI, this informative book answers more than 1,400 questions, such as …

A.G.G. Liu is a writer and online educator based in New Jersey. Liu has reached millions of online learners on YouTube—both as the lead script writer for the AI and futurism channel Rational Animations, and through their own educational channel, Signore Galilei, which was started during college at Harvard. Liu co-authored the book 30-Second Space Travel with Dr. Charles Liu and Dr. Karen Masters and co-hosts the podcast The LIUniverse with Dr. Charles Liu. Residing in Bloomfield, New Jersey, Liu also enjoys singing, amateur radio, and strategy games.

Aishwary Pawar, Ph.D., is a Statistician in the University Decision Support office at Southern Methodist University, where his work focuses on applying advanced data analytics and predictive modeling to improve student retention, success, and institutional outcomes. He holds a Ph.D. in Industrial Engineering with a specialization in Operations Research and Engineering Education. Dr. Pawar is the co-authored of The Handy Engineering Answer Book and is the author of Your First Code: Python Basics for Absolute Beginners. His research interests include predictive analytics, student success modeling, and ethical data use in higher education. He also teaches courses in data science and Python programming as an adjunct faculty member. Outside of work, he enjoys exploring global food cultures, collecting sneakers, and mentoring students in data-driven careers. He resides just outside Dallas.