Artificial Intelligence For Dummies,

Step into the future with AI

The term "Artificial Intelligence" has been around since the 1950s, but a lot has changed since then. Today, AI is referenced in the news, books, movies, and TV shows, and the exact definition is often misinterpreted. Artificial Intelligence For Dummies provides a clear introduction to AI and how it's being used today.

Inside, you'll get a clear overview of the technology, the common misconceptions surrounding it, and a fascinating look at its applications in everything from self-driving cars and drones to its contributions in the medical field.

* Learn about what AI has contributed to society

* Explore uses for AI in computer applications

* Discover the limits of what AI can do

* Find out about the history of AI

The world of AI is fascinating--and this hands-on guide makes it more accessible than ever!

Autorentext
John Paul Mueller has written 108 books and over 600 articles on topics ranging from artificial intelligence to networking to database management. He's also a technical editor and consultant. Luca Massaronis a data scientist and marketing research director specializing in multivariate statistical analysis, machine learning, and customer insight.

Klappentext
Learn about what AI has contributed to society Understand the AI in robots, drones, and self-driving cars Discover the limits of what AI can do Find out what AI is all about Artificial Intelligence. It's excitingand a little spooky. And it's all around us. AI helps protect you from fraud, schedules medical procedures, aids in customer service, and even assists you in choosing TV shows and cleaning your house. Want to learn more? This book fills in the blanks, showing you what AI is and what it isn't, considering ethical questions behind AI use, how it's being used today, and some of the amazing things it's expected to do tomorrow. Whether you're a technophile or simply curious, you'll be fascinated by what you learn! Inside Discover AI history Understand the role of data Learn how AI is used in computer applications, the medical field, space, and machine learning Clear the hype surrounding AI Explore robots and drones

Zusammenfassung
Step into the future with AI The term "Artificial Intelligence" has been around since the 1950s, but a lot has changed since then. Today, AI is referenced in the news, books, movies, and TV shows, and the exact definition is often misinterpreted. Artificial Intelligence For Dummies provides a clear introduction to AI and how it's being used today. Inside, you'll get a clear overview of the technology, the common misconceptions surrounding it, and a fascinating look at its applications in everything from self-driving cars and drones to its contributions in the medical field. Learn about what AI has contributed to society Explore uses for AI in computer applications Discover the limits of what AI can do Find out about the history of AI The world of AI is fascinatingand this hands-on guide makes it more accessible than ever!

Inhalt
Introduction 1 About This Book 2 Icons Used in This Book 3 Beyond the Book 3 Where to Go from Here 4 Part 1: Introducing AI 5 Chapter 1: Introducing AI 7 Defining the Term AI 7 Discerning intelligence 8 Discovering four ways to define AI 12 Understanding the History of AI 14 Starting with symbolic logic at Dartmouth 15 Continuing with expert systems 16 Overcoming the AI winters 16 Considering AI Uses 17 Avoiding AI Hype 18 Connecting AI to the Underlying Computer 19 Chapter 2: Defining the Role of Data 21 Finding Data Ubiquitous in This Age 22 Understanding Moore's implications 23 Using data everywhere 24 Putting algorithms into action 25 Using Data Successfully 27 Considering the data sources 27 Obtaining reliable data 28 Making human input more reliable 28 Using automated data collection 30 Manicuring the Data 30 Dealing with missing data 31 Considering data misalignments 32 Separating useful data from other data 32 Considering the Five Mistruths in Data 33 Commission 33 Omission 34 Perspective 34 Bias 35 Frame of reference 36 Defining the Limits of Data Acquisition 37 Chapter 3: Considering the Use of Algorithms 39 Understanding the Role of Algorithms 40 Understanding what algorithm means 40 Starting from planning and branching 41 Playing adversarial games 44 Using local search and heuristics 46 Discovering the Learning Machine 49 Leveraging expert systems 50 Introducing machine learning 52 Touching new heights 53 Chapter 4: Pioneering Specialized Hardware 55 Relying on Standard Hardware 56 Understanding the standard hardware 56 Describing standard hardware deficiencies 57 Using GPUs 59 Considering the Von Neumann bottleneck 60 Defining the GPU 61 Considering why GPUs work well 62 Creating a Specialized Processing Environment 62 Increasing Hardware Capabilities 63 Adding Specialized Sensors 64 Devising Methods to Interact with the Environment 65 Part 2: Considering the Uses of AI in Society 67 Chapter 5: Seeing AI Uses in Computer Applications 69 Introducing Common Application Types 70 Using AI in typical applications 70 Realizing AI's wide range of fields 71 Considering the Chinese Room argument 72 Seeing How AI Makes Applications Friendlier 73 Performing Corrections Automatically 74 Considering the kinds of corrections 74 Seeing the benefits of automatic corrections 75 Understanding why automated corrections don't work 75 Making Suggestions 76 Getting suggestions based on past actions 76 Getting suggestions based on groups 77 Obtaining the wrong suggestions 77 Considering AI-based Errors 78 Chapter 6: Automating Common Processes 81 Developing Solutions for Boredom 82 Making tasks more interesting 82 Helping humans work more efficiently 83 Understanding how AI reduces boredom 84 Considering how AI can't reduce boredom 84 Working in Industrial Settings 85 Developing various levels of automation 85 Using more than just robots 86 Relying on automation alone 87 Creating a Safe Environment 88 Considering the role of bored...

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