Artificial Intelligence for Humans, Volume 3

Deep Learning and Neural Networks

Author: Jeff Heaton

Publisher: Createspace Independent Publishing Platform

ISBN: 9781505714340

Category:

Page: 374

View: 6344

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Neural networks have been a mainstay of artificial intelligence since its earliest days. Now, exciting new technologies such as deep learning and convolution are taking neural networks in bold new directions. In this book, we will demonstrate the neural networks in a variety of real-world tasks such as image recognition and data science. We examine current neural network technologies, including ReLU activation, stochastic gradient descent, cross-entropy, regularization, dropout, and visualization.
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AI for Games, Third Edition

Author: Ian Millington

Publisher: CRC Press

ISBN: 1351053280

Category: Art

Page: 1010

View: 3229

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AI is an integral part of every video game. This book helps propfessionals keep up with the constantly evolving technological advances in the fast growing game industry and equips students with up-to-date infortmation they need to jumpstart their careers. This revised and updated Third Edition includes new techniques, algorithms, data structures and representations needed to create powerful AI in games. The companion website includes downloadable and executable source code that will be regularly updated by the author. Key Features A comprehensive professional tutorial and reference to implement ture AI in games Includes new exercises so readers can test their comprhension and understanding of the concepts and preactices presented Revised and updated to cover new techniques and advances in AI Walks the reader throuigh the entire game AI development process New and improved companion website with easily downloaded and executable source code
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Introduction to Algorithms for Data Mining and Machine Learning

Author: Xin-She Yang

Publisher: Academic Press

ISBN: 0128172177

Category: Mathematics

Page: 188

View: 922

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Introduction to Algorithms for Data Mining and Machine Learning introduces the essential ideas behind all key algorithms and techniques for data mining and machine learning, along with optimization techniques. Its strong formal mathematical approach, well selected examples, and practical software recommendations help readers develop confidence in their data modeling skills so they can process and interpret data for classification, clustering, curve-fitting and predictions. Masterfully balancing theory and practice, it is especially useful for those who need relevant, well explained, but not rigorous (proofs based) background theory and clear guidelines for working with big data. Presents an informal, theorem-free approach with concise, compact coverage of all fundamental topics Includes worked examples that help users increase confidence in their understanding of key algorithms, thus encouraging self-study Provides algorithms and techniques that can be implemented in any programming language, with each chapter including notes about relevant software packages
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Information and Communication Technology for Sustainable Development

Proceedings of ICT4SD 2018

Author: Milan Tuba,Shyam Akashe,Amit Joshi

Publisher: Springer

ISBN: 9811371660

Category: Computers

Page: 843

View: 8067

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The book proposes new technologies and discusses future solutions for ICT design infrastructures, and includes high-quality submissions presented at the Third International Conference on ICT for Sustainable Development (ICT4SD 2018), held in Goa, India on 30–31 August 2018. The conference stimulated cutting-edge research discussions among pioneering researchers, scientists, industrial engineers, and students from all around the world. Bringing together experts from different countries, the book focuses on innovative issues at an international level.
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Optimization Techniques and Applications with Examples

Author: Xin-She Yang

Publisher: John Wiley & Sons

ISBN: 1119490626

Category: Mathematics

Page: 384

View: 6924

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A guide to modern optimization applications and techniques in newly emerging areas spanning optimization, data science, machine intelligence, engineering, and computer sciences Optimization Techniques and Applications with Examples introduces the fundamentals of all the commonly used techniques in optimization that encompass the broadness and diversity of the methods (traditional and new) and algorithms. The author—a noted expert in the field—covers a wide range of topics including mathematical foundations, optimization formulation, optimality conditions, algorithmic complexity, linear programming, convex optimization, and integer programming. In addition, the book discusses artificial neural network, clustering and classifications, constraint-handling, queueing theory, support vector machine and multi-objective optimization, evolutionary computation, nature-inspired algorithms and many other topics. Designed as a practical resource, all topics are explained in detail with step-by-step examples to show how each method works. The book’s exercises test the acquired knowledge that can be potentially applied to real problem solving. By taking an informal approach to the subject, the author helps readers to rapidly acquire the basic knowledge in optimization, operational research, and applied data mining. This important resource: Offers an accessible and state-of-the-art introduction to the main optimization techniques Contains both traditional optimization techniques and the most current algorithms and swarm intelligence-based techniques Presents a balance of theory, algorithms, and implementation Includes more than 100 worked examples with step-by-step explanations Written for upper undergraduates and graduates in a standard course on optimization, operations research and data mining, Optimization Techniques and Applications with Examples is a highly accessible guide to understanding the fundamentals of all the commonly used techniques in optimization.
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Artificial Intelligence

Author: Margaret A. Boden

Publisher: Elsevier

ISBN: 9780080527598

Category: Computers

Page: 376

View: 8957

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Artificial Intelligence is the study of how to build or program computers to enable them to do what minds can do. This volume discusses the ways in which computational ideas and computer modeling can aid our understanding of human and animal minds. Major theoretical approaches are outlined, as well as some promising recent developments. Fundamental philosophical questions are discussed along with topics such as: the differences between symbolic and connectionist AI, planning and problem solving, knowledge representation, learning, expert systems, vision, natural language, creativity, and human-computer interaction. This volume is suitable for any psychologist, philosopher, or computer scientist wanting to know the current state of the art in this area of cognitive science. Up-to-date account of how computational ideas and techniques are relevant to psychology Includes discussions of "classical" (symbolic) AI, of connectionism (neural nets), of evolutionary programming, and of A-Life Discusses a wide range of psychology from low-level vision to creativity
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Time-Space, Spiking Neural Networks and Brain-Inspired Artificial Intelligence

Author: Nikola K. Kasabov

Publisher: Springer

ISBN: 3662577151

Category: Computers

Page: 738

View: 4110

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Spiking neural networks (SNN) are biologically inspired computational models that represent and process information internally as trains of spikes. This monograph book presents the classical theory and applications of SNN, including original author’s contribution to the area. The book introduces for the first time not only deep learning and deep knowledge representation in the human brain and in brain-inspired SNN, but takes that further to develop new types of AI systems, called in the book brain-inspired AI (BI-AI). BI-AI systems are illustrated on: cognitive brain data, including EEG, fMRI and DTI; audio-visual data; brain-computer interfaces; personalized modelling in bio-neuroinformatics; multisensory streaming data modelling in finance, environment and ecology; data compression; neuromorphic hardware implementation. Future directions, such as the integration of multiple modalities, such as quantum-, molecular- and brain information processing, is presented in the last chapter. The book is a research book for postgraduate students, researchers and practitioners across wider areas, including computer and information sciences, engineering, applied mathematics, bio- and neurosciences.
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Artificial Intelligence on Fashion and Textiles

Proceedings of the Artificial Intelligence on Fashion and Textiles (AIFT) Conference 2018, Hong Kong, July 3–6, 2018

Author: Wai Keung Wong

Publisher: Springer

ISBN: 3319996959

Category: Computers

Page: 348

View: 8858

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The book includes the Proceedings of the Artificial Intelligence on Fashion and Textiles conference 2018 which provides state-of-the-art techniques and applications of AI in the fashion and textile industries. It is essential reading for scientists, researchers and R&D professionals working in the field of AI with applications in the fashion and textile industry; managers in the fashion and textile enterprises; and anyone with an interest in the applications of AI. Over the last two decades, with the great advancement of computer technology, academic research in artificial intelligence (AI) and its applications in fashion and textile supply chain has been becoming a very hot topic and has received greater attention from both academics and industrialists. A number of AI-related techniques has been successfully employed and proven to handle the problems including fashion sales forecasting, supply chain optimization, planning and scheduling, textile material defect detection, fashion and textile image recognition, fashion image and style retrieval, human body modeling and fitting, etc.
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Design Thinking Live

Wie man Ideen entwickelt und Probleme löst

Author: Christoph Meinel,Ulrich Weinberg,Timm Krohn

Publisher: N.A

ISBN: 9783867744270

Category:

Page: 268

View: 9905

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Beiträger aus Forschung, Lehre und Wirtschaft (darunter Jochen Gürtler, SAP; Martin Wegner, DHL; Julia Leihener, Telekom Creation Center) berichten über ihre Erfahrungen oder besser ihre Erlebnisse mit Design Thinking. Sie machen anschaulich, dass und wie Problemlösung, Ideenfindung und 'sechte ́ Innovation im interdisziplinär, experimentell und vor allem nutzerorientiert angelegten Rahmen besser und erfolgreicher möglich sind als in herkömmlichen Innovationsprozessen. Für sie alle steht Design Thinking für eine Denkweise, eine Art, die Welt zu sehen, in deren Zentrum unbedingt der Mensch steht-als Kunde, als Nutzer, als Lernender-, auf den sich alle Entwicklungs-und Innovationsarbeit beziehen soll. Sie wollen vermitteln, wie Design Thinking sich 'sanfühlt ́, welche Wirkungen, bis hinein in den persönlichen Alltag, sich ergeben, wie sich eine neue Form der Aufmerksamkeit und Achtsamkeit, eine Haltung des vernetzten Denkens einstellt und schließlich-auf Unternehmensebene-eine neue Arbeitskultur entstehen kann.
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Intelligent Systems

Technology and Applications, Six Volume Set

Author: Cornelius T. Leondes

Publisher: CRC Press

ISBN: 9781420040814

Category: Technology & Engineering

Page: 2400

View: 6533

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Intelligent systems, or artificial intelligence technologies, are playing an increasing role in areas ranging from medicine to the major manufacturing industries to financial markets. The consequences of flawed artificial intelligence systems are equally wide ranging and can be seen, for example, in the programmed trading-driven stock market crash of October 19, 1987. Intelligent Systems: Technology and Applications, Six Volume Set connects theory with proven practical applications to provide broad, multidisciplinary coverage in a single resource. In these volumes, international experts present case-study examples of successful practical techniques and solutions for diverse applications ranging from robotic systems to speech and signal processing, database management, and manufacturing.
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