Essentials of Artificial Intelligence

Essentials of Artificial Intelligence
Author: Matt Ginsberg
Publsiher: Newnes
Total Pages: 430
Release: 2012-12-02
ISBN: 032313968X
Category: Computers
Language: EN, FR, DE, ES & NL

Essentials of Artificial Intelligence Book Excerpt:

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.

The Essentials of Machine Learning in Finance and Accounting

The Essentials of Machine Learning in Finance and Accounting
Author: Mohammad Zoynul Abedin,M. Kabir Hassan,Petr Hajek,Mohammed Mohi Uddin
Publsiher: Routledge
Total Pages: 258
Release: 2021-06-21
ISBN: 1000394123
Category: Business & Economics
Language: EN, FR, DE, ES & NL

The Essentials of Machine Learning in Finance and Accounting Book Excerpt:

Th­is book introduces machine learning in finance and illustrates how we can use computational tools in numerical finance in real-world context. ­These computational techniques are particularly useful in financial risk management, corporate bankruptcy prediction, stock price prediction, and portfolio management. ­The book also offers practical and managerial implications of financial and managerial decision support systems and how these systems capture vast amount of financial data. Business risk and uncertainty are two of the toughest challenges in the financial industry. Th­is book will be a useful guide to the use of machine learning in forecasting, modeling, trading, risk management, economics, credit risk, and portfolio management.

Mathematical Aspects of Artificial Intelligence

Mathematical Aspects of Artificial Intelligence
Author: Frederick Hoffman,American Mathematical Society
Publsiher: American Mathematical Soc.
Total Pages: 275
Release: 1998
ISBN: 0821806114
Category: Computers
Language: EN, FR, DE, ES & NL

Mathematical Aspects of Artificial Intelligence Book Excerpt:

There exists a history of great expectations and large investments involving Artificial Intelligence (AI). There are also notable shortfalls and memorable disappointments. One major controversy regarding AI is just how mathematical a field it is or should be. This text includes contributions that examine the connections between AI and mathematics, demonstrating the potential for mathematical applications and exposing some of the more mathematical areas within AI.The goal is to stimulate interest in people who can contribute to the field or use its results. Included is work by M. Newborn on the famous Deep Blue chess match. He discusses highly mathematical techniques involving graph theory, combinatorics and probability and statistics. G. Shafer offers his development of probability through probability trees with some of the results appearing here for the first time. M. Golumbic treats temporal reasoning with ties to the famous Frame Problem.His contribution involves logic, combinatorics and graph theory and leads to two chapters with logical themes. H. Kirchner explains how ordering techniques in automated reasoning systems make deduction more efficient. Constraint logic programming is discussed by C. Lassez, who shows its intimate ties to linear programming with crucial theorems going back to Fourier. V. Nalwa's work provides a brief tour of computer vision, tying it to mathematics-from combinatorics, probability and geometry to partial differential equations. All authors are gifted expositors and are current contributors to the field. The wide scope of the volume includes research problems, research tools and good motivational material for teaching.

New Foundation Of Artificial Intelligence

New Foundation Of Artificial Intelligence
Author: Ming Xie,Zhen-cheng Hu,Hui Chen
Publsiher: World Scientific
Total Pages: 404
Release: 2020-12-22
ISBN: 9811232229
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

New Foundation Of Artificial Intelligence Book Excerpt:

This book lays a new foundation toward achieving artificial self-intelligence by future machines such as intelligent vehicles. Its chapters provide a broad coverage to the three key modules behind the design and development of intelligent vehicles for the ultimate purpose of actively ensuring driving safety as well as preventing accidents from all possible causes. Self-contained and unified in presentation, the book explains in details the fundamental solutions of vehicle's perception, vehicle's decision-making, and vehicle's action-taking in a pedagogic order.Besides the fundamental knowledge and concepts of intelligent vehicle's perception, decision and action, this book includes a comprehensive set of real-life application scenarios in which intelligent vehicles will play a major role or contribution. These case studies of real-life applications will help motivate students to learn this exciting subject. With concise and simple explanations, and boasting a rich set of graphical illustrations, the book is an invaluable source for both undergraduate and postgraduate courses, on artificial intelligence, intelligent vehicle, and robotics, which are offered in automotive engineering, computer engineering, electronic engineering, and mechanical engineering. In addition, the book will help strengthen the knowledge and skills of young researchers who want to venture into the research and development of artificial self-intelligence for intelligent vehicles of the future.

Artificial Intelligence in Education

Artificial Intelligence in Education
Author: Matthew N.O. Sadiku,Sarhan M. Musa,Uwakwe C. Chukwu
Publsiher: iUniverse
Total Pages: 150
Release: 2022-01-27
ISBN: 1663234345
Category: Education
Language: EN, FR, DE, ES & NL

Artificial Intelligence in Education Book Excerpt:

The quest for building an artificial brain developed in the fields of computer science and psychology. Artificial intelligence (AI), sometimes called machine intelligence, refers to intelligence demonstrated by machines, while the natural intelligence is the intelligence displayed by humans and animals. Typically, AI systems demonstrate at least some of the following human behaviors: planning, learning, reasoning, problem solving, knowledge representation, perception, speech recognition, decision-making, language translation, motion, manipulation, intelligence, and creativity. Artificial intelligence is an emerging technology which the educational sector can benefit from. In this book, we consider the applications of AI in key areas of education. Artificial intelligence in education (AIED) refers to the application of AI technologies in educational settings to facilitate teaching, learning, or decision making. AI will impact the education field in the areas of administration, instruction, and personalized, and individualized learning applications. In this book, AI is specifically applied in the following key educational sectors: education, natural sciences, social sciences, computer science, engineering, business, and medicine.

Fundamentals of the New Artificial Intelligence

Fundamentals of the New Artificial Intelligence
Author: Toshinori Munakata
Publsiher: Springer Science & Business Media
Total Pages: 256
Release: 2008-01-01
ISBN: 1846288398
Category: Computers
Language: EN, FR, DE, ES & NL

Fundamentals of the New Artificial Intelligence Book Excerpt:

The book covers the most essential and widely employed material in each area, particularly the material important for real-world applications. Our goal is not to cover every latest progress in the fields, nor to discuss every detail of various techniques that have been developed. New sections/subsections added in this edition are: Simulated Annealing (Section 3.7), Boltzmann Machines (Section 3.8) and Extended Fuzzy if-then Rules Tables (Sub-section 5.5.3). Also, numerous changes and typographical corrections have been made throughout the manuscript. The Preface to the first edition follows. General scope of the book Artificial intelligence (AI) as a field has undergone rapid growth in diversification and practicality. For the past few decades, the repertoire of AI techniques has evolved and expanded. Scores of newer fields have been added to the traditional symbolic AI. Symbolic AI covers areas such as knowledge-based systems, logical reasoning, symbolic machine learning, search techniques, and natural language processing. The newer fields include neural networks, genetic algorithms or evolutionary computing, fuzzy systems, rough set theory, and chaotic systems.

Frontiers of Expert Systems

Frontiers of Expert Systems
Author: Chilukuri K. Mohan
Publsiher: Springer Science & Business Media
Total Pages: 303
Release: 2000-05-31
ISBN: 9780792378150
Category: Computers
Language: EN, FR, DE, ES & NL

Frontiers of Expert Systems Book Excerpt:

"Beginning with the central topics of logic, uncertainty and rule-based reasoning, each chapter in the book presents a different perspective on how we may solve problems that arise due to limitations in the knowledge of an expert system's reasoner.".

AI And Legal Reasoning Essentials Practical Advances In Artificial Intelligence And Machine Learning

AI And Legal Reasoning Essentials  Practical Advances In Artificial Intelligence And Machine Learning
Author: Lance Eliot
Publsiher: Lbe Press Publishing
Total Pages: 394
Release: 2020-05-05
ISBN: 9781734601657
Category: Computers
Language: EN, FR, DE, ES & NL

AI And Legal Reasoning Essentials Practical Advances In Artificial Intelligence And Machine Learning Book Excerpt:

A vital book by industry thought leader and global AI expert, Dr. Lance Eliot, and based on his popular AI Insider series and podcasts, this fascinating book provides pioneering advances for the field of AI and Law, doing so with a focus on AI and Legal Reasoning (AILR). Included are keen insights about the practical application of Artificial Intelligence (AI) and Machines Learning (ML).

Artificial Intelligence and Machine Learning for Business for Non Engineers

Artificial Intelligence and Machine Learning for Business for Non Engineers
Author: Stephan S. Jones,Frank M. Groom
Publsiher: CRC Press
Total Pages: 148
Release: 2019-11-22
ISBN: 1000733653
Category: Computers
Language: EN, FR, DE, ES & NL

Artificial Intelligence and Machine Learning for Business for Non Engineers Book Excerpt:

The next big area within the information and communication technology field is Artificial Intelligence (AI). The industry is moving to automate networks, cloud-based systems (e.g., Salesforce), databases (e.g., Oracle), AWS machine learning (e.g., Amazon Lex), and creating infrastructure that has the ability to adapt in real-time to changes and learn what to anticipate in the future. It is an area of technology that is coming faster and penetrating more areas of business than any other in our history. AI will be used from the C-suite to the distribution warehouse floor. Replete with case studies, this book provides a working knowledge of AI’s current and future capabilities and the impact it will have on every business. It covers everything from healthcare to warehousing, banking, finance and education. It is essential reading for anyone involved in industry.

A First Course in Artificial Intelligence

A First Course in Artificial Intelligence
Author: Osondu Oguike
Publsiher: Bentham Science Publishers
Total Pages: 340
Release: 2021-07-14
ISBN: 1681088541
Category: Computers
Language: EN, FR, DE, ES & NL

A First Course in Artificial Intelligence Book Excerpt:

The importance of Artificial Intelligence cannot be over-emphasised in current times, where automation is already an integral part of industrial and business processes. A First Course in Artificial Intelligence is a comprehensive textbook for beginners which covers all the fundamentals of Artificial Intelligence. Seven chapters (divided into thirty-three units) introduce the student to key concepts of the discipline in simple language, including expert system, natural language processing, machine learning, machine learning applications, sensory perceptions (computer vision, tactile perception) and robotics. Each chapter provides information in separate units about relevant history, applications, algorithm and programming with relevant case studies and examples. The simplified approach to the subject enables beginners in computer science who have a basic knowledge of Java programming to easily understand the contents. The text also introduces Python programming language basics, with demonstrations of natural language processing. It also introduces readers to the Waikato Environment for Knowledge Analysis (WEKA), as a tool for machine learning. The book is suitable for students and teachers involved in introductory courses in undergraduate and diploma level courses which have appropriate modules on artificial intelligence.

Artificial Intelligence for Knowledge Management

Artificial Intelligence for Knowledge Management
Author: Eunika Mercier-Laurent,M. Özgür Kayalica,Mieczyslaw Lech Owoc
Publsiher: Springer Nature
Total Pages: 251
Release: 2021-07-03
ISBN: 3030808475
Category: Computers
Language: EN, FR, DE, ES & NL

Artificial Intelligence for Knowledge Management Book Excerpt:

This book features a selection of extended papers presented at the 8th IFIP WG 12.6 International Workshop on Artificial Intelligence for Knowledge Management, AI4KM 2021, held in Yokohama, Japan, in January 2021, in the framework of the International Joint Conference on Artificial Intelligence, IJCAI 2020.* The 14 revised and extended papers presented together with an invited talk were carefully reviewed and selected for inclusion in this volume. They present new research and innovative aspects in the field of knowledge management and discuss methodological, technical and organizational aspects of artificial intelligence used for knowledge management. *The workshop was held virtually.

Nature Inspired Intelligent Techniques for Solving Biomedical Engineering Problems

Nature Inspired Intelligent Techniques for Solving Biomedical Engineering Problems
Author: Kose, Utku,Guraksin, Gur Emre,Deperlioglu, Omer
Publsiher: IGI Global
Total Pages: 381
Release: 2018-03-31
ISBN: 1522547703
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Nature Inspired Intelligent Techniques for Solving Biomedical Engineering Problems Book Excerpt:

Technological tools and computational techniques have enhanced the healthcare industry. These advancements have led to significant progress and novel opportunities for biomedical engineering. Nature-Inspired Intelligent Techniques for Solving Biomedical Engineering Problems is a pivotal reference source for emerging scholarly research on trends and techniques in the utilization of nature-inspired approaches in biomedical engineering. Featuring extensive coverage on relevant areas such as artificial intelligence, clinical decision support systems, and swarm intelligence, this publication is an ideal resource for medical practitioners, professionals, students, engineers, and researchers interested in the latest developments in biomedical technologies.

Game Development Essentials Game Artificial Intelligence

Game Development Essentials  Game Artificial Intelligence
Author: John Ahlquist, Jr.,Jeannie Novak
Publsiher: Delmar Pub
Total Pages: 297
Release: 2008
ISBN: 1928374650XXX
Category: Art
Language: EN, FR, DE, ES & NL

Game Development Essentials Game Artificial Intelligence Book Excerpt:

Written by experts with years of gaming industry experience developing today’s most popular games, Game Development Essentials: Game Artificial Intelligence provides an engaging introduction to real world game artificial intelligence techniques. With a clear, step-by-step approach, the book begins by covering artificial intelligence techniques that are relevant to the work of today’s developers. This technical detail is then expanded through descriptions of how these techniques are actually used in games, as well as the specific issues that arise when using them. With a straightforward writing style, this book offers a guide to game artificial intelligence that is clear, relevant, and updated to reflect the most current technology and trends in the industry. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Artificial Intelligence And LegalTech Essentials Advanced Series On Artificial Intelligence AI And Law

Artificial Intelligence And LegalTech Essentials  Advanced Series On Artificial Intelligence  AI  And Law
Author: Lance Eliot
Publsiher: Unknown
Total Pages: 260
Release: 2020-03-27
ISBN: 9781734601633
Category: Law
Language: EN, FR, DE, ES & NL

Artificial Intelligence And LegalTech Essentials Advanced Series On Artificial Intelligence AI And Law Book Excerpt:

A vital book by industry thought leader and global AI expert, Dr. Lance Eliot, and based on his popular AI Insider series and podcasts, this fascinating book provides pioneering advances for the field of AI and law. Included too are keen insights about the practical application of Artificial Intelligence (AI) and Machines Learning (ML) in LegalTech and LawTech.

Unreal Engine 4 AI Programming Essentials

Unreal Engine 4 AI Programming Essentials
Author: Peter L. Newton,Jie Feng
Publsiher: Packt Publishing Ltd
Total Pages: 188
Release: 2016-03-18
ISBN: 1784396559
Category: Computers
Language: EN, FR, DE, ES & NL

Unreal Engine 4 AI Programming Essentials Book Excerpt:

Create responsive and intelligent game AI using Blueprints in Unreal Engine 4 About This Book Understand and apply your Game AI better through various projects such as adding randomness and probability, and introducing movement Configure and debug Game AI logic using multiple methodologies Bridge the gap between your knowledge and Game AI in Unreal Engine 4 Who This Book Is For This book is for programmers and artists who want to expand their knowledge of Game AI in relation to Unreal Engine 4. You are recommended to have some experience of exploring Unreal Engine 4 prior to this book because we jump straight into Game AI. What You Will Learn Understand the fundamental components of Game AI within Unreal Engine 4 Skillfully introduce Game AI within Unreal Engine 4 Configure, customize, and assign Navigation and AI components to your pawn Create, debug, and analyze Game AI behavior Design responsive Game AI using the Behavior Tree methodology Create smart objects designed to interact with AI Utilize advanced AI features within your project to maximize the user experience In Detail Unreal Engine is a powerful game development engine that provides rich functionalities to create 2D and 3D games. Developers have the opportunity to build cross-platform mobile and desktop games from scratch. This book will show you how to apply artificial intelligence (AI) techniques to your Unreal project using blueprints as your scripting language. You will start with an introduction to AI, and learn how it is applied to gaming. Then you'll jump right in and create a simple AI bot and apply basic behaviors to allow it to move randomly. As you progress, you'll find out how to implement randomness and probability traits. Using NavMesh, you will impart navigation components such as character movement, MoveTo nodes, settings, and world objects, and implement Behavior Trees. At the end of the book, you will troubleshoot any issues that might crop up while building the game. Style and approach This easy-to-follow project-based guide throws you directly into the excitement of Game AI in an approachable and comprehensive manner.

Essentials of Pattern Recognition

Essentials of Pattern Recognition
Author: Jianxin Wu
Publsiher: Cambridge University Press
Total Pages: 398
Release: 2020-11-19
ISBN: 1108483461
Category: Computers
Language: EN, FR, DE, ES & NL

Essentials of Pattern Recognition Book Excerpt:

An accessible undergraduate introduction to the concepts and methods in pattern recognition, machine learning and deep learning.

Hands On Artificial Intelligence for Beginners

Hands On Artificial Intelligence for Beginners
Author: Patrick D. Smith
Publsiher: Packt Publishing Ltd
Total Pages: 362
Release: 2018-10-31
ISBN: 1788992261
Category: Computers
Language: EN, FR, DE, ES & NL

Hands On Artificial Intelligence for Beginners Book Excerpt:

Grasp the fundamentals of Artificial Intelligence and build your own intelligent systems with ease Key FeaturesEnter the world of AI with the help of solid concepts and real-world use casesExplore AI components to build real-world automated intelligenceBecome well versed with machine learning and deep learning conceptsBook Description Virtual Assistants, such as Alexa and Siri, process our requests, Google's cars have started to read addresses, and Amazon's prices and Netflix's recommended videos are decided by AI. Artificial Intelligence is one of the most exciting technologies and is becoming increasingly significant in the modern world. Hands-On Artificial Intelligence for Beginners will teach you what Artificial Intelligence is and how to design and build intelligent applications. This book will teach you to harness packages such as TensorFlow in order to create powerful AI systems. You will begin with reviewing the recent changes in AI and learning how artificial neural networks (ANNs) have enabled more intelligent AI. You'll explore feedforward, recurrent, convolutional, and generative neural networks (FFNNs, RNNs, CNNs, and GNNs), as well as reinforcement learning methods. In the concluding chapters, you'll learn how to implement these methods for a variety of tasks, such as generating text for chatbots, and playing board and video games. By the end of this book, you will be able to understand exactly what you need to consider when optimizing ANNs and how to deploy and maintain AI applications. What you will learnUse TensorFlow packages to create AI systemsBuild feedforward, convolutional, and recurrent neural networksImplement generative models for text generationBuild reinforcement learning algorithms to play gamesAssemble RNNs, CNNs, and decoders to create an intelligent assistantUtilize RNNs to predict stock market behaviorCreate and scale training pipelines and deployment architectures for AI systemsWho this book is for This book is designed for beginners in AI, aspiring AI developers, as well as machine learning enthusiasts with an interest in leveraging various algorithms to build powerful AI applications.

Artificial Intelligence and Machine Learning An Issue of Neuroimaging Clinics of North America E Book

Artificial Intelligence and Machine Learning   An Issue of Neuroimaging Clinics of North America  E Book
Author: Reza Forghani
Publsiher: Elsevier Health Sciences
Total Pages: 240
Release: 2020-10-23
ISBN: 0323712452
Category: Medical
Language: EN, FR, DE, ES & NL

Artificial Intelligence and Machine Learning An Issue of Neuroimaging Clinics of North America E Book Book Excerpt:

This issue of Neuroimaging Clinics of North America focuses on Artificial Intelligence and Machine Learning and is edited by Dr. Reza Forghani. Articles will include: A Brief History of Artificial Intelligence; Evolution of Approaches for Computerized Image Analysis; Overview of Machine Learning Part 1: Classic Approaches; Overview of Machine Learning Part 2: Artificial Neural Networks & Deep Learning; Overview of Natural Language Processing; Artificial Intelligence & Stroke Imaging: An East Coast Perspective; Artificial Intelligence & Stroke Imaging: A West Coast Perspective; Artificial Intelligence Applications for Brain Tumor Imaging; Diverse Applications of Artificial Intelligence in Neuroradiology; Artificial Intelligence Applications for Head and Neck Imaging; Artificial Intelligence Applications for Predictive Analytics and Workflow Optimization; Artificial Intelligence, Advanced Visualization, and 3D Printing; Ethical & Legal Considerations for Artificial Intelligence; Comprehensive (or 360) Artificial Intelligence: Beyond Image Interpretation Alone, and more!

Artificial Intelligence for Sustainable Finance and Sustainable Technology

Artificial Intelligence for Sustainable Finance and Sustainable Technology
Author: Abdalmuttaleb M. A. Musleh Al-Sartawi
Publsiher: Springer Nature
Total Pages: 135
Release: 2022
ISBN: 3030934640
Category: Electronic Book
Language: EN, FR, DE, ES & NL

Artificial Intelligence for Sustainable Finance and Sustainable Technology Book Excerpt:

Artificial Intelligence in Daily Life

Artificial Intelligence in Daily Life
Author: Raymond S. T. Lee
Publsiher: Springer Nature
Total Pages: 394
Release: 2020-08-22
ISBN: 9811576955
Category: Computers
Language: EN, FR, DE, ES & NL

Artificial Intelligence in Daily Life Book Excerpt:

Given the exponential growth of Artificial Intelligence (AI) over the past few decades, AI and its related applications have become part of daily life in ways that we could never have dreamt of only a century ago. Our routines have been changed beyond measure by robotics and AI, which are now used in a vast array of services. Though AI is still in its infancy, we have already benefited immensely. This book introduces readers to basic Artificial Intelligence concepts, and helps them understand the relationship between AI and daily life. In the interest of clarity, the content is divided into four major parts. Part I (AI Concepts) presents fundamental concepts of and information on AI; while Part II (AI Technology) introduces readers to the five core AI Technologies that provide the building blocks for various AI applications, namely: Machine Learning (ML), Data Mining (DM), Computer Vision (CV), Natural Languages Processing (NLP), and Ontology-based Search Engine (OSE). In turn, Part III (AI Applications) reviews major contemporary applications that are impacting our ways of life, working styles and environment, ranging from intelligent agents and robotics to smart campus and smart city projects. Lastly, Part IV (Beyond AI) addresses related topics that are vital to the future development of AI. It also discusses a number of critical issues, such as AI ethics and privacy, the development of a conscious mind, and autonomous robotics in our daily lives.