Ai For Dummies (For Dummies (Computer/Tech)) 1st Edition

Great book !! Gives better understanding !!! Simple to understand !!!

I love this textbook and enjoying it so far!

Pretty good book. I went to turn the page and it was over at 82% read. Surprised me as I was going along and then it just stopped. I expected some kind of summary. Thought I didn't get the while book but the next page had "About the Authors"

Good book.

AI is a branch of computer science. As such I don't like books that only provide AI algorithms in pseudocode. This book doesn't even present pseudocode! A book attempting to teach AI should present algorithms for search, machine learning, utility estimation and updating, etc. I also disagree with the authors' claims that AIs can't understand, be creative, intrapersonal, conscious, aware, etc. I believe in mechanical life.

Artificial Intelligence: What Is It? How Does It Work? How Can You Leverage It? What Are The Gotcha's?Artificial Intelligence had been a field of study (and later a commercial venture) for about 50 years. Giants like Alan Turing, Claude Shannon, Marvin Minsky and John McCarthy have speculated and contributed real technology to it. It has undergone periods of extreme enthusiasm and investment and AI Winter's when interest and financing lagged. Now that a sustained investment in a confluence of technologies: Machine Learning, Deep Learning, Chatbots, Driver-less Cars and Robotics are sustaining major investments it is vital to understand the whys and wherefores of these technologies. John Paul Muller and Luca Massaron are expert technologists who have written detailed technical books on programming and machine learning are herein answering (in an accurate and non-hyped way the real questions that are necessary to take advantage of these technologies and avoid the real pitfalls and issues which could prevent success. This so-called Dummies Book avoids the Scylla and Charybdis of a too surface hyped description without any detail, and a in-depth programming and algorithms text designed to establish technical competence and which is only accessible to software engineers. This easy to read, but not too cursory text answers the real and important questions of what is this technology; what do I need to know to make it useful and obtain personal and business advantage from it?; what are its drawbacks and stumbling blocks,?"; where are its advantages real benefits and where have they been over-hyped by the press?"This book describes in depth the ideas and benefits behind Machine Leaning, Neural Network Algorithms, Robotics, Autonomous Vehicles and Chatbots and gives a realistic picture of what they can do and how they work. While the authors have the technical know-how to write programming guides and textbooks they also have the instructional experience and journalistic skills to answer the questions needed to make real use of this promising, yet forbidding technology.

ARTIFICIAL INTELLIGENCE FOR DUMMIES, like all the “for Dummies” books, provides a helpful, entertaining introduction to the subject-matter field. It’s quirky and spotty in its presentation and coverage, of course. This is because the “for Dummies” publisher has a template that authors must conform to (always ending with “The Part of Tens”) that requires the material, regardless of how simple or complex it is, to be artificially categorized and presented.This book is well-written, and I like it for devoting a lot of its discussion to what artificial intelligence CANNOT do, and for relieving my anxiety about the possibility that deep learning machines and robots will take over the world (replacing humans in decision-making roles) within another few decades. In the end, the effectiveness of artificial intelligence depends on the questions asked at the outset, not on the gathered data alone.The authors do an excellent job of explaining how artificial intelligence works, in language that you can understand if you have only a general knowledge of computer programming.The general topics addressed are as follows: (1) Introducing AI; (2) Defining the Role of Data; (3) Considering the Use of Algorithms; (4) Pioneering Specialized Hardware; (5) Seeing AI Uses in Computer Applications; (6) Automating Common Processes; (7) Using AI to Address Medical Needs; (8) Relying on AI to Improve Human Interaction; (9) Performing Data Analysis for AI; (10) Employing Machine Learning in AI; (11) Improving AI With Deep Learning; (12) Developing Robots; (13) Flying With Drones; (14) Utilizing the AI-Driven Car; (15) Understanding the Nonstarter Application; (16) Seeing AI in Space; (17) Adding Human Occupations; (18) Ten AI-Safe Occupations; (19) Ten Substantial Contributions of AI to Society; and (20) Ten Ways in Which AI Has Failed.

My grandson values learning about technology and enjoyed this book. He has built his own computer so he understands technology and its importance.