Artificial Intelligence: Exercises II PDF Download

Author:
Publisher: Bookboon
ISBN: 8776815927
Category :
Languages : en
Pages : 202

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Author: Georgios N. Yannakakis
Publisher: Springer
ISBN: 3319635190
Category : Computers
Languages : en
Pages : 350

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Book Description
This is the first textbook dedicated to explaining how artificial intelligence (AI) techniques can be used in and for games. After introductory chapters that explain the background and key techniques in AI and games, the authors explain how to use AI to play games, to generate content for games and to model players. The book will be suitable for undergraduate and graduate courses in games, artificial intelligence, design, human-computer interaction, and computational intelligence, and also for self-study by industrial game developers and practitioners. The authors have developed a website (http://www.gameaibook.org) that complements the material covered in the book with up-to-date exercises, lecture slides and reading.

Author: Matt Ginsberg
Publisher: Newnes
ISBN: 032313968X
Category : Computers
Languages : en
Pages : 445

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Book Description
Since its publication, Essentials of Artificial Intelligence has been adopted at numerous universities and colleges offering introductory AI courses at the graduate and undergraduate levels. Based on the author's course at Stanford University, the book is an integrated, cohesive introduction to the field. The author has a fresh, entertaining writing style that combines clear presentations with humor and AI anecdotes. At the same time, as an active AI researcher, he presents the material authoritatively and with insight that reflects a contemporary, first hand understanding of the field. Pedagogically designed, this book offers a range of exercises and examples.

Author: Alice C Helliwell
Publisher: Anthem Press
ISBN: 1839991402
Category : Philosophy
Languages : en
Pages : 140

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Book Description
Volume II This collection brings together work on the relevance of Wittgenstein’s philosophy to the field of Artificial Intelligence (AI). Over two volumes, our contributors cover a wide range of topics from different disciplinary approaches. In this Volume (II), contributions are centred on two major themes in the philosophy of AI: questions of value and governance. Contributions include chapters on both ethics and aesthetics and AI, as well as questions of the governance of AI systems, including legal and policy issues.

Author: Shalini Harisukh
Publisher: Orange Education Pvt Ltd
ISBN: 9391246192
Category : Computers
Languages : en
Pages : 611

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Book Description
Touchpad AI series has some salient features such as AI Game, AI Lab. KEY FEATURES (5-7 points)(each point should be 70 characters with space)(to be filled by author) ● National Education Policy 2020 ● AI Game: It contains an interesting game or activity for the students. ● AI Lab: It contains questions to improve practical skills. ● Brainy Fact: It is an interesting fact relevant to the topic. ● AI Glossary: This section contains definition of important AI terms. ● Digital Solutions DESCRIPTION Touchpad Artificial Intelligence series has some salient features such as AI Reboot, AI Deep Thinking, AI in Life, AI Lab and AI Ready which ensures that NEP 2020 guidelines are followed. The series is written keeping in mind about the future and scope that lies in Artificial Intelligence. The knowledge is spread in a phased manner so that at no age the kid finds it difficult to understand the theory. There are some brainstorming activities in the form of AI Task in between the topics to ensure that students give pause to their learning and use their skills to reach to some creative ideas in solving given problems. Every chapter has competency based questions as guided by CBSE to ensure that students are capable of applying their learning to solve some real-life challenges. There are plenty of Video Sessions for students and teachers to go beyond the syllabus and enrich their knowledge. WHAT WILL YOU LEARN You will learn about: ● Communication skills ● Management skills ● Fundamentals of computers ● ICT Tools ● Entrepreneurship ● Green Skills ● Introduction to AI ● Computer vision ● Natural Language Processing ● Data Science ● AI Project Cycle ● Advance Python WHO THIS BOOK IS FOR Grade 10 TABLE OF CONTENTS 1. Part A Employability Skills a. Unit-1 Communication Skills-II b. Unit-2 Self Management Skills-II c. Unit-3 ICT Skills-II d. Unit-4 Entrepreneurial Skills-II e. Unit-5 Green Skills-II 2. Part B Subject Specific Skills a. Unit-1 Introduction to AI b. Unit-2 AI Project Cycle c. Unit-3 Advance Python d. Unit-4 Data Science e. Unit-5 Computer Vision f. Unit-6 Natural Language Processing g. Unit-7 Evaluation 3. Part C Practical Work a. Python Practical Questions b. Viva Voce Questions 4. Projects 5. AI Glossary 6. AI Innovators 7. CBSE Sample Question Paper

Author: David J. Gunkel
Publisher: Polity
ISBN: 9781509533169
Category : Social Science
Languages : en
Pages : 320

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Book Description
Communication and artificial intelligence (AI) are closely related. It is communication – particularly interpersonal conversational interaction – that provides AI with its defining test case and experimental evidence. Likewise, recent developments in AI introduce new challenges and opportunities for communication studies. Technologies such as machine translation of human languages, spoken dialogue systems like Siri, algorithms capable of producing publishable journalistic content, and social robots are all designed to communicate with users in a human-like way. This timely and original textbook provides educators and students with a much-needed resource, connecting the dots between the science of AI and the discipline of communication studies. Clearly outlining the topic's scope, content and future, the text introduces key issues and debates, highlighting the importance and relevance of AI to communication studies. In lively and accessible prose, David Gunkel provides a new generation with the information, knowledge, and skills necessary to working and living in a world where social interaction is no longer restricted to humans. The first work of its kind, An Introduction to Communication and Artificial Intelligence is the go-to textbook for students and scholars getting to grips with this crucial interdisciplinary topic.

Author: Ameet V Joshi
Publisher: Springer Nature
ISBN: 3030266222
Category : Technology & Engineering
Languages : en
Pages : 262

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Book Description
This book provides comprehensive coverage of combined Artificial Intelligence (AI) and Machine Learning (ML) theory and applications. Rather than looking at the field from only a theoretical or only a practical perspective, this book unifies both perspectives to give holistic understanding. The first part introduces the concepts of AI and ML and their origin and current state. The second and third parts delve into conceptual and theoretic aspects of static and dynamic ML techniques. The forth part describes the practical applications where presented techniques can be applied. The fifth part introduces the user to some of the implementation strategies for solving real life ML problems. The book is appropriate for students in graduate and upper undergraduate courses in addition to researchers and professionals. It makes minimal use of mathematics to make the topics more intuitive and accessible. Presents a full reference to artificial intelligence and machine learning techniques - in theory and application; Provides a guide to AI and ML with minimal use of mathematics to make the topics more intuitive and accessible; Connects all ML and AI techniques to applications and introduces implementations.

Author: Florinda Matos
Publisher: Academic Conferences International limited
ISBN: 191276475X
Category : Computers
Languages : en
Pages :

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Book Description
These proceedings represent the work of contributors to the 2nd European Conference on the Impact of Artificial Intelligence and Robotics (ECIAIR 2020), hosted by ACI and Instituto Universitário de Lisboa (ISCTE-IUL), Portugal on 22-23 October 2020. The Conference Chair is Dr Florinda Matos, and the Programme Chairs are Dr Ana Maria de Almeida and Prof Isabel Salavisa, all from Instituto Universitário de Lisboa (ISCTE-IUL), Portugal.

Author: Chinmay Arankalle
Publisher: Packt Publishing Ltd
ISBN: 1800206992
Category : Computers
Languages : en
Pages : 731

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Book Description
Explore how a data storage system works – from data ingestion to representation Key FeaturesUnderstand how artificial intelligence, machine learning, and deep learning are different from one anotherDiscover the data storage requirements of different AI apps using case studiesExplore popular data solutions such as Hadoop Distributed File System (HDFS) and Amazon Simple Storage Service (S3)Book Description Social networking sites see an average of 350 million uploads daily - a quantity impossible for humans to scan and analyze. Only AI can do this job at the required speed, and to leverage an AI application at its full potential, you need an efficient and scalable data storage pipeline. The Artificial Intelligence Infrastructure Workshop will teach you how to build and manage one. The Artificial Intelligence Infrastructure Workshop begins taking you through some real-world applications of AI. You'll explore the layers of a data lake and get to grips with security, scalability, and maintainability. With the help of hands-on exercises, you'll learn how to define the requirements for AI applications in your organization. This AI book will show you how to select a database for your system and run common queries on databases such as MySQL, MongoDB, and Cassandra. You'll also design your own AI trading system to get a feel of the pipeline-based architecture. As you learn to implement a deep Q-learning algorithm to play the CartPole game, you'll gain hands-on experience with PyTorch. Finally, you'll explore ways to run machine learning models in production as part of an AI application. By the end of the book, you'll have learned how to build and deploy your own AI software at scale, using various tools, API frameworks, and serialization methods. What you will learnGet to grips with the fundamentals of artificial intelligenceUnderstand the importance of data storage and architecture in AI applicationsBuild data storage and workflow management systems with open source toolsContainerize your AI applications with tools such as DockerDiscover commonly used data storage solutions and best practices for AI on Amazon Web Services (AWS)Use the AWS CLI and AWS SDK to perform common data tasksWho this book is for If you are looking to develop the data storage skills needed for machine learning and AI and want to learn AI best practices in data engineering, this workshop is for you. Experienced programmers can use this book to advance their career in AI. Familiarity with programming, along with knowledge of exploratory data analysis and reading and writing files using Python will help you to understand the key concepts covered.

Author: Maria Mercedes Rodrigo
Publisher: Springer Nature
ISBN: 303111647X
Category : Computers
Languages : en
Pages : 670

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Book Description
This two-volume set LNAI 13355 and 13356 constitutes the refereed proceedings of the 23rd International Conference on Artificial Intelligence in Education, AIED 2022, held in Durham, UK, in July 2022. The 40 full papers and 40 short papers presented together with 2 keynotes, 6 industry papers, 12 DC papers, 6 Workshop papers, 10 Practitioner papers, 97 Posters and Late-Breaking Results were carefully reviewed and selected from 243 submissions. The conference presents topics such as intelligent systems and the cognitive sciences for the improvement and advancement of education, the science and engineering of intelligent interactive learning systems. The theme for the AIED 2022 conference was „AI in Education: Bridging the gap between academia, business, and non-pro t in preparing future-proof generations towards ubiquitous AI."