| Description |
1 online resource (1 volume) : illustrations |
| Contents |
Table of ContentsBecome an Adaptive ThinkerThink like a MachineApply Machine Thinking to a Human ProblemBecome an Unconventional InnovatorManage the Power of Machine Learning and Deep LearningDon't Get Lost in Techniques -- Focus on Optimizing Your SolutionsWhen and How to Use Artificial IntelligenceRevolutions Designed for Some Corporations and Disruptive Innovations for Small to Large CompaniesGetting Your Neurons to WorkApplying Biomimicking to Artificial IntelligenceConceptual Representation LearningAutomated Planning and SchedulingAI and the Internet of Things (IoT)Optimizing Blockchains with AICognitive NLP ChatbotsImprove the Emotional Intelligence Deficiencies of ChatbotsQuantum Computers That ThinkAppendix -- Answers to the Questions |
| Summary |
Annotation Be an adaptive thinker that leads the way to Artificial IntelligenceKey FeaturesAI-based examples to guide you in designing and implementing machine intelligenceDevelop your own method for future AI solutionsAcquire advanced AI, machine learning, and deep learning design skillsBook DescriptionArtificial Intelligence has the potential to replicate humans in every field. This book serves as a starting point for you to understand how AI is built, with the help of intriguing examples and case studies. Artificial Intelligence By Example will make you an adaptive thinker and help you apply concepts to real-life scenarios. Using some of the most interesting AI examples, right from a simple chess engine to a cognitive chatbot, you will learn how to tackle the machine you are competing with. You will study some of the most advanced machine learning models, understand how to apply AI to blockchain and IoT, and develop emotional quotient in chatbots using neural networks. You will move on to designing AI solutions in a simple manner rather than get confused by complex architectures and techniques. This comprehensive guide will be a starter kit for you to develop AI applications on your own. By the end of this book, will have understood the fundamentals of AI and worked through a number of case studies that will help you develop business vision. What you will learnUse adaptive thinking to solve real-life AI case studiesRise beyond being a modern-day factory code workerAcquire advanced AI, machine learning, and deep learning designing skillsLearn about cognitive NLP chatbots, quantum computing, and IoT and blockchain technologyUnderstand future AI solutions and adapt quickly to themDevelop out-of-the-box thinking to face any challenge the market presentsWho this book is forArtificial Intelligence by Example is a simple, explanatory, and descriptive guide for junior developers, experienced developers, technology consultants, and those interested in AI who want to understand the fundamentals of Artificial Intelligence and implement it practically by devising smart solutions. Prior experience with Python and statistical knowledge is essential to make the most out of this book |
| Bibliography |
Includes bibliographical references |
| Notes |
Online resource; title from title page (Safari, viewed June 27, 2018) |
| Subject |
Artificial intelligence -- Data processing.
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Application software -- Development.
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Python (Computer program language)
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Cloud computing.
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Mathematical theory of computation.
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Machine learning.
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Neural networks & fuzzy systems.
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Artificial intelligence.
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COMPUTERS -- Intelligence (AI) & Semantics.
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Application software -- Development
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Artificial intelligence -- Data processing
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Cloud computing
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Python (Computer program language)
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| Form |
Electronic book
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| ISBN |
9781788990028 |
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1788990021 |
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1788990544 |
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9781788990547 |
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