Principles Of Quantum Artificial Intelligence: Quantum Problem Solving And Machine Learning World Scientific Publishing Co Pte Ltd

Książki / Literatura obcojęzyczna

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Principles Of Quantum Artificial Intelligence

Książki Obcojęzyczne>Nieprzypisane

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The Ethics of Artificial Intelligence Principles, Challenges, and Opportunities (Hardback)

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Artificial Intelligence PEARSON Education Limited

Książki / Literatura obcojęzyczna

Negnevitsky shows students how to build intelligent systems drawing on techniques from knowledge-based systems, neural networks, fuzzy systems, evolutionary computation and now also intelligent agents. The principles behind these techniques are explained without resorting to complex mathematics, showing how the various techniques are implemented, when they are useful and when they are not. No particular programming language is assumed and the book does not tie itself to any of the software tools available. However, available tools and their uses are described, and program examples are given in Java.The lack of assumed prior knowledge makes this book ideal for any introductory courses in artificial intelligence or intelligent systems design, while the contemporary coverage means more advanced students will benefit by discovering the latest state-of-the-art techniques, particularly in intelligent agents and knowledge discovery.

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Risk Modeling - Practical Applications of Artificial Intelligence, Machine Learning, and Deep Learning John Wiley & Sons Inc

Książki / Literatura obcojęzyczna

A wide-ranging overview of the use of machine learning and AI techniques in financial risk management, including practical advice for implementationRisk Modeling: Practical Applications of Artificial Intelligence, Machine Learning, and Deep Learning introduces readers to the use of innovative AI technologies for forecasting and evaluating financial risks. Providing up-to-date coverage of the practical application of current modelling techniques in risk management, this real-world guide also explores new opportunities and challenges associated with implementing machine learning and artificial intelligence (AI) into the risk management process.Authors Terisa Roberts and Stephen Tonna provide readers with a clear understanding about the strengths and weaknesses of machine learning and AI while explaining how they can be applied to both everyday risk management problems and to evaluate the financial impact of extreme events such as global pandemics and changes in climate. Throughout the text, the authors clarify misconceptions about the use of machine learning and AI techniques using clear explanations while offering step-by-step advice for implementing the technologies into an organization's risk management model governance framework. This authoritative volume:* Highlights the use of machine learning and AI in identifying procedures for avoiding or minimizing financial risk* Discusses practical tools for assessing bias and interpretability of resultant models developed with machine learning algorithms and techniques* Covers the basic principles and nuances of feature engineering and common machine learning algorithms* Illustrates how risk modeling is incorporating machine learning and AI techniques to rapidly consume complex data and address current gaps in the end-to-end modelling lifecycle* Explains how proprietary software and open-source languages can be combined to deliver the best of both worlds: for risk models and risk practitionersRisk Modeling: Practical Applications of Artificial Intelligence, Machine Learning, and Deep Learning is an invaluable guide for CEOs, CROs, CFOs, risk managers, business managers, and other professionals working in risk management.

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Contracting and Contract Law in the Age of Artificial Intelligence Bloomsbury Publishing

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This book provides original, diverse, and timely insights into the nature, scope, and implications of Artificial Intelligence (AI), especially machine learning and natural language processing, in relation to contracting practices and contract law. The chapters feature unique, critical, and in-depth analysis of a range of topical issues, including how the use of AI in contracting affects key principles of contract law (from formation to remedies), the implications for autonomy, consent, and information asymmetries in contracting, and how AI is shaping contracting practices and the laws relating to specific types of contracts and sectors. The contributors represent an interdisciplinary team of lawyers, computer scientists, economists, political scientists, and linguists from academia, legal practice, policy, and the technology sector. The chapters not only engage with salient theories from different disciplines, but also examine current and potential real-world applications and implications of AI in contracting and explore feasible legal, policy, and technological responses to address the challenges presented by AI in this field. The book covers major common and civil law jurisdictions, including the EU, Italy, Germany, UK, US, and China. It should be read by anyone interested in the complex and fast-evolving relationship between AI, contract law, and related areas of law such as business, commercial, consumer, competition, and data protection laws.

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Principles of Synthetic Intelligence PSI: An Architecture of Motivated Cognition Oxford University Press Inc

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Although computational models of cognition have become very popular, these models are relatively limited in their coverage of cognition-- they usually only emphasize problem solving and reasoning, or treat perception and motivation as isolated modules. The first architecture to cover cognition more broadly is Psi theory, developed by Dietrich Dorner. By integrating motivation and emotion with perception and reasoning, and including grounded neuro-symbolic representations, Psi contributes significantly to an integrated understanding of the mind. It provides a conceptual framework that highlights the relationships between perception and memory, language and mental representation, reasoning and motivation, emotion and cognition, autonomy and social behavior. It is, however, unfortunate that Psi's origin in psychology, its methodology, and its lack of documentation have limited its impact. The proposed book adapts Psi theory to cognitive science and artificial intelligence, by elucidating both its theoretical and technical frameworks, and clarifying its contribution to how we have come to understand cognition.

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PRINCIPLES OF MARKETING PLUS PEARSON GARY ARMSTRONG WYDAWCA

Podręczniki, artykuły szkolne > Podręczniki do szkół podst. i średnich

Principles of Marketing plus Pearson MyLab Marketing with Pearson eText, Global Edition   Learn how to create value through customer connections and engagement In a fast-changing, increasingly digital and social marketplace, it

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Principles of Constraint Programming Cambridge University Press

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Constraints are everywhere: most computational problems can be described in terms of restrictions imposed on the set of possible solutions, and constraint programming is a problem-solving technique that works by incorporating those restrictions in a programming environment. It draws on methods from combinatorial optimisation and artificial intelligence, and has been successfully applied in a number of fields from scheduling, computational biology, finance, electrical engineering and operations research through to numerical analysis. This textbook for upper-division students provides a thorough and structured account of the main aspects of constraint programming. The author provides many worked examples that illustrate the usefulness and versatility of this approach to programming, as well as many exercises throughout the book that illustrate techniques, test skills and extend the text. Pointers to current research, extensive historical and bibliographic notes, and a comprehensive list of references will also be valuable to professionals in computer science and artificial intelligence.

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Principles Of Data Mining

Książki Obcojęzyczne>Angielskie>Computing & information technology>Databases>Data miningKsiążki Obcojęzyczne>Angielskie>Computing & ...

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Principles Of Automated Negotiation

Książki Obcojęzyczne>Angielskie>Computing & information technology>Computer science>Artificial intelligence

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Computational Principles Of Mobile Robotics

Książki Obcojęzyczne>Angielskie>Computing & information technology>Computer science>Artificial intelligence

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Geometric Structures of Statistical Physics, Information Geometry, and Learning Springer, Berlin

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Machine learning and artificial intelligence increasingly use methodological tools rooted in statistical physics. Conversely, limitations and pitfalls encountered in AI question the very foundations of statistical physics. This interplay between AI and statistical physics has been attested since the birth of AI, and principles underpinning statistical physics can shed new light on the conceptual basis of AI. During the last fifty years, statistical physics has been investigated through new geometric structures allowing covariant formalization of the thermodynamics. Inference methods in machine learning have begun to adapt these new geometric structures to process data in more abstract representation spaces.This volume collects selected contributions on the interplay of statistical physics and artificial intelligence. The aim is to provide a constructive dialogue around a common foundation to allow the establishment of new principles and laws governing these two disciplines in a unified manner. The contributions were presented at the workshop on the Joint Structures and Common Foundation of Statistical Physics, Information Geometry and Inference for Learning which was held in Les Houches in July 2020. The various theoretical approaches are discussed in the context of potential applications in cognitive systems, machine learning, signal processing.

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BUSINESS IN ACTION PLUS COURTALND BOVEE NOWA WYDAWCA

Podręczniki, artykuły szkolne > Podręczniki do szkół podst. i średnich

Business in Action plus Pearson MyLab Business with Pearson eText, Global Edition   This title is a Pearson Global Edition. The Editorial team at Pearson has worked closely with educators around the world to include content, which is especially relevant to students outside the United States.   This package includes Pearson MyLab Business.   A concise and comprehensive introduction to business Business in Action  remains the premier, comprehensive textbook for important introductory business principles and concepts. Featuring a highly organized, objective-driven structure, the text incorporates relevant, contemporary examples and trends from the business world. Now 16 chapters (down from 20), the  9th Edition  has been streamlined to better match the needs of the course. New material, visuals, and assessment questions cover the full spectrum of contemporary business topics without filler or fluff. So, students can focus on what

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Power Electronics Handbook BUTTERWORTH HEINEMANN

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Power Electronics Handbook, Fifth Edition is an expert guide to power electronics and its applications. It systematically interrogates the foundations of power electronics, power semiconductor devices, and power converters, before reviewing a constellation of modern applications. Comprehensively updated throughout, the new edition features several wholly new sections which address current practice for renewable energy storage, transmission, integration and operation, smart-grid security and intelligent energy; artificial intelligence and machine learning applications applied to power electronics; and autonomous and electric vehicles. The work is particularly aimed at practitioners and researchers undertaking any aspects of a project requiring specialist design, analysis, installation, commissioning and maintenance services. With this book in hand, engineers will be able to execute design, analysis and evaluation of assigned projects using sound engineering principles and adhering to business policies and product/program requirements. The work also serves to stimulate a wide range of students and engineering professionals as they enter the emerging fields of power electronics and power processing. A fully comprehensive work addressing each aspect of power electronics in painstaking depth and methodical technical presentation in over 1500 pages Each of the 50+ contributions have been prepared by leading experts with substantial academic and professional presence and scholarship Extremely practical, offering support and guidance with detailed examples and applications for lab and field experimentation Includes new technical sections on smart-grid security and intelligent energy, artificial intelligence and machine learning applications applied to power electronics and autonomous and electric vehicles New layers of chapter level templating will aid reader pedagogy and narrative progression with common features and structural elements

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