Artificial Intelligence By Example Second Edition
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Artificial Intelligence By Example Second Edition
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Author : Denis Rothman
language : en
Publisher:
Release Date : 2020-02-28
Artificial Intelligence By Example Second Edition written by Denis Rothman and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-28 with Computers categories.
Artificial Intelligence By Example
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Author : Denis Rothman
language : en
Publisher: Packt Publishing Ltd
Release Date : 2020-02-28
Artificial Intelligence By Example written by Denis Rothman and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-28 with Computers categories.
Understand the fundamentals and develop your own AI solutions in this updated edition packed with many new examples Key FeaturesAI-based examples to guide you in designing and implementing machine intelligenceBuild machine intelligence from scratch using artificial intelligence examplesDevelop machine intelligence from scratch using real artificial intelligenceBook Description AI has the potential to replicate humans in every field. Artificial Intelligence By Example, Second Edition serves as a starting point for you to understand how AI is built, with the help of intriguing and exciting examples. This book will make you an adaptive thinker and help you apply concepts to real-world scenarios. Using some of the most interesting AI examples, right from computer programs such as a simple chess engine to cognitive chatbots, 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 Internet of Things (IoT), and develop emotional quotient in chatbots using neural networks such as recurrent neural networks (RNNs) and convolutional neural networks (CNNs). This edition also has new examples for hybrid neural networks, combining reinforcement learning (RL) and deep learning (DL), chained algorithms, combining unsupervised learning with decision trees, random forests, combining DL and genetic algorithms, conversational user interfaces (CUI) for chatbots, neuromorphic computing, and quantum computing. By the end of this book, you will understand the fundamentals of AI and have worked through a number of examples that will help you develop your AI solutions. What you will learnApply k-nearest neighbors (KNN) to language translations and explore the opportunities in Google TranslateUnderstand chained algorithms combining unsupervised learning with decision treesSolve the XOR problem with feedforward neural networks (FNN) and build its architecture to represent a data flow graphLearn about meta learning models with hybrid neural networksCreate a chatbot and optimize its emotional intelligence deficiencies with tools such as Small Talk and data loggingBuilding conversational user interfaces (CUI) for chatbotsWriting genetic algorithms that optimize deep learning neural networksBuild quantum computing circuitsWho this book is for Developers and those interested in AI, who want to understand the fundamentals of Artificial Intelligence and implement them practically. Prior experience with Python programming and statistical knowledge is essential to make the most out of this book.
Advanced Artificial Intelligence Second Edition
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Author : Zhongzhi Shi
language : en
Publisher: World Scientific
Release Date : 2019-08-05
Advanced Artificial Intelligence Second Edition written by Zhongzhi Shi and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-05 with Computers categories.
The joint breakthrough of big data, cloud computing and deep learning has made artificial intelligence (AI) the new focus in the international arena. AI is a branch of computer science, developing intelligent machine with imitating, extending and augmenting human intelligence through artificial means and techniques to realize intelligent behaviour.This comprehensive compendium, consisting of 15 chapters, captures the updated achievements of AI. It is completely revised to reflect the current researches in the field, through numerous techniques and strategies to address the impending challenges facing computer scientists today.The unique volume is useful for senior or graduate students in the information field and related tertiary specialities. It is also a suitable reference text for professionals, researchers, and academics in AI, machine learning, electrical & electronic engineering and biocomputing.
Introduction To Artificial Intelligence Second Edition
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Author : AKERKAR, RAJENDRA
language : en
Publisher: PHI Learning Pvt. Ltd.
Release Date : 2014-07-18
Introduction To Artificial Intelligence Second Edition written by AKERKAR, RAJENDRA and has been published by PHI Learning Pvt. Ltd. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-07-18 with Computers categories.
This comprehensive text acquaints the readers with the important aspects of artificial intelligence (AI) and intelligent systems and guides them towards a better understanding of the subject. The text begins with a brief introduction to artificial intelligence, including application areas, its history and future, and programming. It then deals with symbolic logic, knowledge acquisition, representation and reasoning. The text also lucidly explains AI technologies such as computer vision, natural language processing, pattern recognition and speech recognition. Topics such as expert systems, neural networks, constraint programming and case-based reasoning are also discussed in the book. In the Second Edition, the contents and presentation have been improved thoroughly and in addition six new chapters providing a simulating and inspiring synthesis of new artificial intelligence and an appendix on AI tools have been introduced. The treatment throughout the book is primarily tailored to the curriculum needs of B.E./B.Tech. students in Computer Science and Engineering, B.Sc. (Hons.) and M.Sc. students in Computer Science, and MCA students. The book is also useful for computer professionals interested in exploring the field of artificial intelligence. Key Features • Exposes the readers to real-world applications of AI. • Concepts are duly supported by examples and cases. • Provides appendices on PROLOG, LISP and AI Tools. • Incorporates most recommendations of the Curriculum Committee on Computer Science/Engineering for AI and Intelligent Systems. • Exercises provided will help readers apply what they have learned.
Ai Teach Me How To Write A Book Second Edition
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Author : John Nunez
language : en
Publisher: John Nunez
Release Date : 2024-04-12
Ai Teach Me How To Write A Book Second Edition written by John Nunez and has been published by John Nunez this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-12 with Language Arts & Disciplines categories.
"AI: Teach Me How to Write a Book - 2nd Edition" is a comprehensive guide designed for writers at all levels to harness the capabilities of Artificial Intelligence in creative writing. This book offers a deep dive into the integration of AI tools with traditional writing practices, aimed at enhancing creativity, improving narrative structure, and optimizing the writing process across various genres. Key Features AI Tools and Techniques: The book introduces readers to a variety of AI tools that can assist in plot generation, character development, and emotional depth. It discusses how these tools can serve as co-creators, helping you, the writer, to generate ideas, overcome creative blocks, and refine their narratives. Practical Application: Each chapter is structured to provide actionable advice on how to apply AI in real-world writing scenarios. This includes prompts, how-to guides, and step-by-step instructions on getting AI to collaborate in everything from drafting dialogues to world-building. Genre-Specific Writing Assistance: The content is tailored to address the specific needs of different genres, including science fiction, fantasy, romance, and historical fiction, ensuring that the guidance is relevant and applicable to a your specific field. Balancing AI and Human Creativity: A significant focus is placed on maintaining your voice in control and ensuring that AI complements rather than overrides the human creative process. This is crucial if you are concern about the authenticity and originality of your work. Ethical Considerations: The book also explores the ethical implications of using AI in writing, discussing topics like authorship, originality, and the responsible use of AI tools. Structure The publication, 600+ long, is divided into several key sections, each focusing on different aspects of AI-assisted writing: Introduction to AI in Writing: This part covers the basics of AI technologies and sets the stage for their application in creative writing. Developing Characters and Plot with AI: Detailed chapters discuss how AI can aid in developing complex characters and intricate plots, with tools for emotional analysis and dynamic storytelling. Enhancing Dialogue and Narrative: The book offers strategies for using AI to craft realistic dialogue and maintain narrative coherence, providing examples of how AI can enhance narrative depth and reader engagement. World-Building: Extensive guidelines on using AI to create vivid, immersive worlds, especially in genres like fantasy and science fiction where detailed world-building is pivotal. Specialized Applications: Separate areas of the book address the use of AI in specific genres, providing tailored advice for crafting genre-specific narratives and character archetypes. Practical Exercises and Prompts: Throughout the book, readers are encouraged to engage with practical exercises and AI-generated prompts to practice the skills discussed. In few words The publication concludes with a look at the future of AI in writing, discussing upcoming trends and how you can stay ahead of the curve. It emphasizes continuous learning and adaptation, encouraging us to evolve with technology while staying true to their creative vision. "AI: Teach Me How to Write a Book - 2nd Edition" is ideal for aspiring and experienced writers like you, interested in integrating technology into their creative process. It is also useful for educators and students in creative writing courses seeking to understand the intersection of technology and literature. This detailed guide combines theoretical insights with practical advice, making it a valuable resource for anyone looking to explore the possibilities of AI in enhancing the art of writing.
Introduction To Machine Learning Second Edition
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Author : Ethem Alpaydin
language : en
Publisher: MIT Press
Release Date : 2009-12-04
Introduction To Machine Learning Second Edition written by Ethem Alpaydin and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-12-04 with Computers categories.
A new edition of an introductory text in machine learning that gives a unified treatment of machine learning problems and solutions. The goal of machine learning is to program computers to use example data or past experience to solve a given problem. Many successful applications of machine learning exist already, including systems that analyze past sales data to predict customer behavior, optimize robot behavior so that a task can be completed using minimum resources, and extract knowledge from bioinformatics data. The second edition of Introduction to Machine Learning is a comprehensive textbook on the subject, covering a broad array of topics not usually included in introductory machine learning texts. In order to present a unified treatment of machine learning problems and solutions, it discusses many methods from different fields, including statistics, pattern recognition, neural networks, artificial intelligence, signal processing, control, and data mining. All learning algorithms are explained so that the student can easily move from the equations in the book to a computer program. The text covers such topics as supervised learning, Bayesian decision theory, parametric methods, multivariate methods, multilayer perceptrons, local models, hidden Markov models, assessing and comparing classification algorithms, and reinforcement learning. New to the second edition are chapters on kernel machines, graphical models, and Bayesian estimation; expanded coverage of statistical tests in a chapter on design and analysis of machine learning experiments; case studies available on the Web (with downloadable results for instructors); and many additional exercises. All chapters have been revised and updated. Introduction to Machine Learning can be used by advanced undergraduates and graduate students who have completed courses in computer programming, probability, calculus, and linear algebra. It will also be of interest to engineers in the field who are concerned with the application of machine learning methods.
Advanced Artificial Intelligence Third Edition
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Author : Zhongzhi Shi
language : en
Publisher: World Scientific
Release Date : 2024-11-04
Advanced Artificial Intelligence Third Edition written by Zhongzhi Shi and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-04 with Computers categories.
This third edition comprehensively captures the cutting-edge research achievements of AI. Topics are thoroughly revised and updated, presenting the latest techniques and strategies to address the impending challenges facing computer scientists today.The useful reference text benefits professionals, academics, researchers, senior and graduate students in the information field and related tertiary specialties.
Introduction To Ai Robotics Second Edition
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Author : Robin R. Murphy
language : en
Publisher: MIT Press
Release Date : 2019-10-01
Introduction To Ai Robotics Second Edition written by Robin R. Murphy and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-01 with Computers categories.
A comprehensive survey of artificial intelligence algorithms and programming organization for robot systems, combining theoretical rigor and practical applications. This textbook offers a comprehensive survey of artificial intelligence (AI) algorithms and programming organization for robot systems. Readers who master the topics covered will be able to design and evaluate an artificially intelligent robot for applications involving sensing, acting, planning, and learning. A background in AI is not required; the book introduces key AI topics from all AI subdisciplines throughout the book and explains how they contribute to autonomous capabilities. This second edition is a major expansion and reorganization of the first edition, reflecting the dramatic advances made in AI over the past fifteen years. An introductory overview provides a framework for thinking about AI for robotics, distinguishing between the fundamentally different design paradigms of automation and autonomy. The book then discusses the reactive functionality of sensing and acting in AI robotics; introduces the deliberative functions most often associated with intelligence and the capability of autonomous initiative; surveys multi-robot systems and (in a new chapter) human-robot interaction; and offers a “metaview” of how to design and evaluate autonomous systems and the ethical considerations in doing so. New material covers locomotion, simultaneous localization and mapping, human-robot interaction, machine learning, and ethics. Each chapter includes exercises, and many chapters provide case studies. Endnotes point to additional reading, highlight advanced topics, and offer robot trivia.
Fundamentals Of Machine Learning For Predictive Data Analytics Second Edition
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Author : John D. Kelleher
language : en
Publisher: MIT Press
Release Date : 2020-10-20
Fundamentals Of Machine Learning For Predictive Data Analytics Second Edition written by John D. Kelleher and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-20 with Computers categories.
The second edition of a comprehensive introduction to machine learning approaches used in predictive data analytics, covering both theory and practice. Machine learning is often used to build predictive models by extracting patterns from large datasets. These models are used in predictive data analytics applications including price prediction, risk assessment, predicting customer behavior, and document classification. This introductory textbook offers a detailed and focused treatment of the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications. Technical and mathematical material is augmented with explanatory worked examples, and case studies illustrate the application of these models in the broader business context. This second edition covers recent developments in machine learning, especially in a new chapter on deep learning, and two new chapters that go beyond predictive analytics to cover unsupervised learning and reinforcement learning.
Unity 2018 Artificial Intelligence Cookbook
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Author : Jorge Palacios
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-08-28
Unity 2018 Artificial Intelligence Cookbook written by Jorge Palacios and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-28 with Computers categories.
Explore various recipes to build games using popular artificial intelligence techniques and algorithms such as Navmesh navigation A*, DFS, and UCB1 Key Features Explore different algorithms for creating decision-making agents that go beyond simple behaviors and movement Discover the latest features of the NavMesh API for scripting intelligent behaviour in your game characters Create games that are non-predictable and dynamic and have a high replayability factor Book Description Interactive and engaging games come with intelligent enemies, and this intellectual behavior is combined with a variety of techniques collectively referred to as Artificial Intelligence. Exploring Unity's API, or its built-in features, allows limitless possibilities when it comes to creating your game's worlds and characters. This cookbook covers both essential and niche techniques to help you take your AI programming to the next level. To start with, you’ll quickly run through the essential building blocks of working with an agent, programming movement, and navigation in a game environment, followed by improving your agent's decision-making and coordination mechanisms – all through hands-on examples using easily customizable techniques. You’ll then discover how to emulate the vision and hearing capabilities of your agent for natural and humanlike AI behavior, and later improve the agents with the help of graphs. This book also covers the new navigational mesh with improved AI and pathfinding tools introduced in the Unity 2018 update. You’ll empower your AI with decision-making functions by programming simple board games, such as tic-tac-toe and checkers, and orchestrate agent coordination to get your AIs working together as one. By the end of this book, you’ll have gained expertise in AI programming and developed creative and interactive games. What you will learn Create intelligent pathfinding agents with popular AI techniques such as A* and A*mbush Implement different algorithms for adding coordination between agents and tactical algorithms for different purposes Simulate senses so agents can make better decisions, taking account of the environment Explore different algorithms for creating decision-making agents that go beyond simple behaviors and movement Create coordination between agents and orchestrate tactics when dealing with a graph or terrain Implement waypoints by making a manual selector Who this book is for The Unity 2018 Artificial Intelligence Cookbook is for you if you are eager to get more tools under your belt to solve AI- and gameplay-related problems. Basic knowledge of Unity and prior knowledge of C# is an advantage.