Artificial Intelligence for dummies (Record no. 4918)
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| 000 -LEADER | |
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| fixed length control field | 10912nam a22002057a 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20230105143307.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 230105b ||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9788126576104 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.3 |
| Item number | MUE |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Mueller, John Paul |
| 245 ## - TITLE STATEMENT | |
| Title | Artificial Intelligence for dummies |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Name of publisher, distributor, etc. | Wiley India Pvt. Ltd. |
| Place of publication, distribution, etc. | New Delhi |
| Date of publication, distribution, etc. | 2022 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xiii, 311 p. |
| 365 ## - TRADE PRICE | |
| Price type code | INR |
| Price amount | 729.00 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc. note | Table of content<br/><br/>Introduction <br/><br/>About This Book <br/><br/>Icons Used in This Book <br/><br/>Beyond the Book <br/><br/>Where to Go from Here <br/><br/> <br/><br/>Part 1: Introducing AI <br/><br/>Chapter 1: Introducing AI <br/><br/>Defining the Term AI <br/>Discerning intelligence <br/>Discovering four ways to define AI <br/>Understanding the History of AI <br/>Starting with symbolic logic at Dartmouth <br/>Continuing with expert systems <br/>Overcoming the AI winters <br/>Considering AI Uses <br/>Avoiding AI Hype <br/>Connecting AI to the Underlying Computer<br/> <br/><br/>Chapter 2: Defining the Role of Data <br/><br/>Finding Data Ubiquitous in This Age<br/>Understanding Moore’s implications<br/>Using data everywhere <br/>Putting algorithms into action <br/>Using Data Successfully <br/>Considering the data sources <br/>Obtaining reliable data <br/>Making human input more reliable <br/>Using automated data collection <br/>Manicuring the Data <br/>Dealing with missing data <br/>Considering data misalignments <br/>Separating useful data from other data <br/>Considering the Five Mistruths in Data <br/>Commission <br/>Omission <br/>Perspective <br/>Bias <br/>Frame of reference <br/>Defining the Limits of Data Acquisition <br/> <br/><br/>Chapter 3: Considering the Use of Algorithms <br/><br/>Understanding the Role of Algorithms <br/>Understanding what algorithm means <br/>Starting from planning and branching <br/>Playing adversarial games <br/>Using local search and heuristics <br/>Discovering the Learning Machine <br/>Leveraging expert systems <br/>Introducing machine learning <br/>Touching new heights <br/> <br/><br/>Chapter 4: Pioneering Specialized Hardware <br/><br/>Relying on Standard Hardware <br/>Understanding the standard hardware <br/>Describing standard hardware deficiencies <br/>Using GPUs <br/>Considering the Von Neumann bottleneck <br/>Defining the GPU <br/>Considering why GPUs work well <br/>Creating a Specialized Processing Environment <br/>Increasing Hardware Capabilities <br/>Adding Specialized Sensors <br/>Devising Methods to Interact with the Environment <br/> <br/><br/>Part 2: Considering the Uses of AI in Society <br/><br/>Chapter 5: Seeing AI Uses in Computer Applications <br/><br/>Introducing Common Application Types <br/>Using AI in typical applications <br/>Realizing AI‘s wide range of fields <br/>Considering the Chinese Room argument <br/>Seeing How AI Makes Applications Friendlier <br/>Performing Corrections Automatically <br/>Considering the kinds of corrections <br/>Seeing the benefits of automatic corrections <br/>Understanding why automated corrections don’t work <br/>Making Suggestions <br/>Getting suggestions based on past actions <br/>Getting suggestions based on groups <br/>Obtaining the wrong suggestions <br/>Considering AI-based Errors <br/> <br/><br/>Chapter 6: Automating Common Processes <br/><br/>Developing Solutions for Boredom <br/>Making tasks more interesting <br/>Helping humans work more efficiently <br/>Understanding how AI reduces boredom <br/>Considering how AI can’t reduce boredom <br/>Working in Industrial Settings <br/>Developing various levels of automation <br/>Using more than just robots <br/>Relying on automation alone <br/>Creating a Safe Environment <br/>Considering the role of boredom in accidents <br/>Seeing AI in avoiding safety issues <br/>Understanding that AI can’t eliminate safety issues <br/> <br/><br/>Chapter 7: Using AI to Address Medical Needs <br/><br/>Implementing Portable Patient Monitoring <br/>Wearing helpful monitors <br/>Relying on critical wearable monitors <br/>Using movable monitors <br/>Making Humans More Capable <br/>Using games for therapy <br/>Considering the use of exoskeletons <br/>Addressing Special Needs <br/>Considering the software-based solutions <br/>Relying on hardware augmentation <br/>Seeing AI in prosthetics <br/>Completing Analysis in New Ways <br/>Devising New Surgical Techniques <br/>Making surgical suggestions <br/>Assisting a surgeon <br/>Replacing the surgeon with monitoring <br/>Performing Tasks Using Automation <br/>Working with medical records <br/>Predicting the future <br/>Making procedures safer <br/>Creating better medications <br/>Combining Robots and Medical Professionals <br/> <br/><br/>Chapter 8: Relying on AI to Improve Human Interaction <br/><br/>Developing New Ways to Communicate <br/>Creating new alphabets <br/>Automating language translation <br/>Incorporating body language <br/>Exchanging Ideas <br/>Creating connections <br/>Augmenting communication <br/>Defining trends <br/>Using Multimedia <br/>Embellishing Human Sensory Perception <br/>Shifting data spectrum <br/>Augmenting human senses <br/> <br/><br/>Part 3: Working with Software-Based AI Applications <br/><br/>Chapter 9: Performing Data Analysis for AI <br/><br/>Defining Data Analysis <br/>Understanding why analysis is important <br/>Reconsidering the value of data <br/>Defining Machine Learning <br/>Understanding how machine learning works <br/>Understanding the benefits of machine learning <br/>Being useful; being mundane <br/>Specifying the limits of machine learning <br/>Considering How to Learn from Data <br/>Supervised learning <br/>Unsupervised learning <br/>Reinforcement learning <br/> <br/><br/>Chapter 10: Employing Machine Learning in AI <br/><br/>Taking Many Different Roads to Learning <br/>Discovering five main approaches to AI learning <br/>Delving into the three most promising AI learning approaches <br/>Awaiting the next breakthrough <br/>Exploring the Truth in Probabilities <br/>Determining what probabilities can do <br/>Considering prior knowledge <br/>Envisioning the world as a graph <br/>Growing Trees that Can Classify <br/>Predicting outcomes by splitting data <br/>Making decisions based on trees <br/>Pruning overgrown trees <br/> <br/><br/>Chapter 11: Improving AI with Deep Learning <br/><br/>Shaping Neural Networks Similar to the Human Brain <br/>Introducing the neuron <br/>Starting with the miraculous perceptron <br/>Mimicking the Learning Brain <br/>Considering simple neural networks <br/>Figuring out the secret is in the weights <br/>Understanding the role of backpropagation <br/>Introducing Deep Learning <br/>Explaining the difference in deep learning <br/>Finding even smarter solutions <br/>Detecting Edges and Shapes from Images <br/>Starting with character recognition <br/>Explaining how convolutions work <br/>Advancing using image challenges <br/>Learning to Imitate Art and Life <br/>Memorizing sequences that matter <br/>Discovering the magic of AI conversations <br/>Making an AI compete against another AI <br/> <br/><br/>Part 4: Working With AI in Hardware Applications <br/><br/>Chapter 12: Developing Robots <br/><br/>Defining Robot Roles <br/>Overcoming the sci-fi view of robots <br/>Knowing why it’s hard to be a humanoid <br/>Working with robots <br/>Assembling a Basic Robot <br/>Considering the components <br/>Sensing the world <br/>Controlling a robot <br/> <br/><br/>Chapter 13: Flying with Drones <br/><br/>Acknowledging the State of the Art <br/>Flying unmanned to missions <br/>Meeting the quadcopter <br/>Defining Uses for Drones <br/>Seeing drones in nonmilitary roles <br/>Powering up drones using AI <br/>Understanding regulatory issues <br/> <br/><br/>Chapter 14: Utilizing the AI-Driven Car <br/><br/>Getting a Short History <br/>Understanding the Future of Mobility <br/>Climbing the six levels of autonomy <br/>Rethinking the role of cars in our lives <br/>Getting into a Self-Driving Car <br/>Putting all the tech together <br/>Letting AI into the scene <br/>Understanding it is not just AI <br/>Overcoming Uncertainty of Perceptions <br/>Introducing the car’s senses <br/>Putting together what you perceive <br/> <br/><br/>Part 5: Considering the Future of AI <br/><br/>Chapter 15: Understanding the Nonstarter Application <br/><br/>Using AI Where It Won’t Work <br/>Defining the limits of AI <br/>Applying AI incorrectly <br/>Entering a world of unrealistic expectations <br/>Considering the Effects of AI Winters <br/>Understanding the AI winter <br/>Defining the causes of the AI winter <br/>Rebuilding expectations with new goals <br/>Creating Solutions in Search of a Problem <br/>Defining a gizmo <br/>Avoiding the infomercial <br/>Understanding when humans do it better <br/>Looking for the simple solution <br/> <br/><br/>Chapter 16: Seeing AI in Space <br/><br/>Observing the Universe <br/>Seeing clearly for the first time <br/>Finding new places to go <br/>Considering the evolution of the universe <br/>Creating new scientific principles <br/>Performing Space Mining <br/>Harvesting water <br/>Obtaining rare earths and other metals <br/>Finding new elements <br/>Enhancing communication <br/>Exploring New Places <br/>Starting with the probe <br/>Relying on robotic missions <br/>Adding the human element <br/>Building Structures in Space <br/>Taking your first space vacation <br/>Performing scientific investigation <br/>Industrializing space <br/>Using space for storage <br/> <br/><br/>Chapter 17: Adding New Human Occupations <br/><br/>Living and Working in Space <br/>Creating Cities in Hostile Environments <br/>Building cities in the ocean <br/>Creating space-based habitats <br/>Constructing moon-based resources <br/>Making Humans More Efficient <br/>Fixing Problems on a Planetary Scale <br/>Contemplating how the world works <br/>Locating potential sources of problems <br/>Defining potential solutions <br/>Seeing the effects of the solutions <br/>Trying again <br/> <br/><br/>Part 6: The Part of Tens <br/><br/>Chapter 18: Ten AI-Safe Occupations <br/><br/>Performing Human Interaction <br/>Teaching children <br/>Nursing <br/>Addressing personal needs <br/>Solving developmental issues <br/>Creating New Things <br/>Inventing <br/>Being artistic <br/>Imagining the unreal <br/>Making Intuitive Decisions <br/>Investigating crime <br/>Monitoring situations in real time <br/>Separating fact from fiction <br/> <br/><br/>Chapter 19: Ten Substantial Contributions of AI to Society <br/><br/>Considering Human-Specific Interactions <br/>Devising the active human foot <br/>Performing constant monitoring <br/>Administering medications <br/>Developing Industrial Solutions <br/>Using AI with 3-D printing <br/>Advancing robot technologies <br/>Creating New Technology Environments <br/>Developing rare new resources <br/>Seeing what can’t be seen <br/>Working with AI in Space <br/>Delivering goods to space stations <br/>Mining extraplanetary resources <br/>Exploring other planets <br/> <br/><br/>Chapter 20: Ten Ways in Which AI Has Failed <br/><br/>Understanding <br/>Interpreting, not analyzing <br/>Going beyond pure numbers <br/>Considering consequences <br/>Discovering <br/>Devising new data from old <br/>Seeing beyond the patterns <br/>Implementing new senses <br/>Empathizing <br/>Walking in someone’s shoes <br/>Developing true relationships <br/>Changing perspective <br/>Making leaps of faith <br/> <br/><br/>Index |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | 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 is being used today. This book will give an overview of the technology, and address common misconceptions regarding Artificial Intelligence.<br/><br/> |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Artificial intelligence |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Massaron, Luca |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Book |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Bill No | Bill Date | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Cost, normal purchase price | Total Checkouts | Full call number | Accession Number | Date last seen | Date checked out | Copy number | Cost, replacement price | Price effective from | Koha item type |
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| Dewey Decimal Classification | IT & Decisions Sciences | TB2585 | 24-12-2022 | Indian Institute of Management LRC | Indian Institute of Management LRC | General Stacks | 01/05/2023 | Technical Bureau India Pvt. Ltd. | 510.30 | 1 | 006.3 MUE | 004155 | 11/14/2024 | 11/11/2024 | 1 | 729.00 | 01/05/2023 | Book |