Books [David Logan] Applied Mathematics, 4 edition
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Praise for the Third Edition
“Future mathematicians, scientists, and engineers should find the book to be an excellent introductory text for coursework or self-study as well as worth its shelf space for reference.”
―MAA Reviews
Applied Mathematics, Fourth Edition is a thoroughly updated and revised edition on the applications of modeling and analyzing natural, social, and technological processes. The book covers a wide range of key topics in mathematical methods and modeling and highlights the connections between mathematics and the applied and natural sciences.
The Fourth Edition covers both standard and modern topics, including...
Books [Arnulf Jentzen, Benno Kuckuck, Philippe von Wurstemberger] Mathematical Introduction to Deep Learning: Methods, Implementations, and Theory
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This book aims to provide an introduction to the topic of deep learning algorithms. We review essential components of deep learning algorithms in full mathematical detail including different Artificial Neural Network (ANN) architectures (such as fully-connected feedforward ANNs, convolutional ANNs, recurrent ANNs, residual ANNs, and ANNs with batch normalization) and different optimization algorithms (such as the basic Stochastic Gradient Descent (SGD) method, accelerated methods, and adaptive methods).
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Books [Jeremy Pickles] Applied Mathematics by Example
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Mathematics is an exceptionally useful subject, having numerous applications in business, computing, engineering and medicine to name but a few. `Applied mathematics’ refers to the study of the physical world using mathematics.
This book approaches the subject from an oft-neglected historical perspective. A particular aim is to make accessible to students Newton’s vision of a single system of law governing the falling of an apple and the orbital motion of the moon.
The book and its associated volume of practice problems give an excellent introduction to applied mathematics.
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Books [Alan Parks] Introduction to Applied Mathematics, Fourth Edition
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An introduction to applied mathematics, including calculus, for students of the social and life sciences. Exact and numerical calculation on a variety of mathematical models. Recursion, equilibria, differentiation, integration, linear algebra, linear and non-linear optimization. Separate online problems document available.
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Books [Manas Joshi] The AI Expedition: From Basics to Brilliance
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Artificial intelligence is reshaping the technology, introducing new advancements and opportunities, guiding us into a future filled with extraordinary progress and possibilities. "The AI Expedition: From Basics to Brilliance" is your essential guide to navigating this fascinating world, offering a deep dive into the core algorithms that power AI, and unraveling the mysteries that lie at the heart of this revolutionary technology.
Designed to be a comprehensive yet accessible exploration of AI, this book takes readers on an enriching journey from the foundational concepts to the most advanced techniques. Whether you are a student, a...
Books [Thomas D. Grant, Damon J. Wischik] On the Path to AI: Conceptual Foundations of the Machine Learning Age
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This open access book explores machine learning and its impact on how we make sense of the world. It does so by bringing together two ‘revolutions’ in a surprising analogy: the revolution of machine learning, which has placed computing on the path to artificial intelligence, and the revolution in thinking about the law that was spurred by Oliver Wendell Holmes Jr in the last two decades of the 19th century. Holmes reconceived law as prophecy based on experience, prefiguring the buzzwords of the machine learning age―prediction based on datasets.
On the path to AI introduces readers to the key concepts of machine learning, discusses...
Books [Bernd Carsten Stahl] Artificial Intelligence for a Better Future
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This open access book proposes a novel approach to Artificial Intelligence (AI) ethics. AI offers many advantages: better and faster medical diagnoses, improved business processes and efficiency, and the automation of boring work. But undesirable and ethically problematic consequences are possible too: biases and discrimination, breaches of privacy and security, and societal distortions such as unemployment, economic exploitation and weakened democratic processes. There is even a prospect, ultimately, of super-intelligent machines replacing humans. The key question, then, is: how can we benefit from AI while addressing its ethical...
Books [Ovidiu Vermesan] Artificial Intelligence for Digitising Industry – Applications
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This book provides in-depth insights into use cases implementing artificial intelligence (AI) applications at the edge. It covers new ideas, concepts, research, and innovation to enable the development and deployment of AI, the industrial internet of things (IIoT), edge computing, and digital twin technologies in industrial environments. The work is based on the research results and activities of the AI4DI project, including an overview of industrial use cases, research, technological innovation, validation, and deployment.
This book’s sections build on the research, development, and innovative ideas elaborated for applications in...
Books [Herman Cappelen, Josh Dever] Making AI Intelligible: Philosophical Foundations
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Can humans and artificial intelligences share concepts and communicate? Making AI Intelligible shows that philosophical work on the metaphysics of meaning can help answer these questions. Herman Cappelen and Josh Dever use the externalist tradition in philosophy to create models of how AIs and humans can understand each other. In doing so, they illustrate ways in which that philosophical tradition can be improved.
The questions addressed in the book are not only theoretically interesting, but the answers have pressing practical implications. Many important decisions about human life are now influenced by AI. In giving that power to...
Books [Lili Yan Ing, Gene M. Grossman] Robots and AI: A New Economic Era
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Robots and artificial intelligence (AI) are powerful forces that will likely have large impacts on the size, direction, and composition of international trade flows. This book discusses how industrial robots, automation, and AI affect international growth, trade, productivity, employment, wages, and welfare. The book explains new approaches on how robots and artificial intelligence affect the world economy by presenting detailed theoretical framework and country-specific as well as firm-product level-specific exercises.
This book will be a useful reference for those researching on robots, automation, AI and their economic impacts on...
Books [Huawei] Artificial Intelligence Technology
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This open access book aims to give our readers a basic outline of today's research and technology developments on artificial intelligence (AI), help them to have a general understanding of this trend, and familiarize them with the current research hotspots, as well as part of the fundamental and common theories and methodologies that are widely accepted in AI research and application.
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Books [Kresimir Delac, Mislav Grgic, Marian Stewart Bartlett] Recent Advances in Face Recognition
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The main idea and the driver of further research in the area of face recognition are security applications and human-computer interaction. Face recognition represents an intuitive and non-intrusive method of recognizing people and this is why it became one of three identification methods used in e-passports and a biometric of choice for many other security applications.
This goal of this book is to provide the reader with the most up to date research performed in automatic face recognition. The chapters presented use innovative approaches to deal with a wide variety of unsolved issues.
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Books [Sue Curry Jansen] What Was Artificial Intelligence?
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When it was originally published in 2002, Sue Curry Jansen’s “What Was Artificial Intelligence?” attracted little notice. The long essay was published as a chapter in Jansen’s Critical Communication Theory, a book whose wisdom and erudition failed to register across the many fields it addressed. One explanation for the neglect, ironic and telling, is that Jansen’s sheer scope as an intellectual had few competent readers in the communication studies discipline into which she published the book. “What Was Artificial Intelligence?” was buried treasure. In this mediastudies.press edition, Jansen’s prescient autopsy of AI self-selling—the...
Books [Micael Dagraça] Practical Game AI Programming
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A smart and diverse game AI is considered to be one of the main pillars of a successful game. This book will help you to get inside game AI programming, implement the latest cutting edge algorithms with C#, and finally help you create effective and interesting AI for your game projects
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Books [Hal Daume III] A Course in Machine Learning
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This is a set of introductory materials that covers most major aspects of modern machine learning (supervised learning, unsupervised learning, large margin methods, probabilistic modeling, learning theory, etc.). It's focus is on broad applications with a rigorous backbone. A subset can be used for an undergraduate course; a graduate course could probably cover the entire material and then some.
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Books [Kenneth Sorensen, Marc Sevaux, Fred Glover] A History of Metaheuristics
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Books [Sean Luke] Essentials of Metaheuristics
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Interested in the Genetic Algorithm? Simulated Annealing? Ant Colony Optimization? Essentials of Metaheuristics covers these and other metaheuristics algorithms, and is intended for undergraduate students, programmers, and non-experts. The book covers a wide range of algorithms, representations, selection and modification operators, and related topics, and includes 71 figures and 135 algorithms great and small. Algorithms include: Gradient Ascent techniques, Hill-Climbing variants, Simulated Annealing, Tabu Search variants, Iterated Local Search, Evolution Strategies, the Genetic Algorithm, the Steady-State Genetic Algorithm...
Books [Nicholas M. Patrikalakis, Takashi Maekawa] Shape Interrogation for Computer Aided Design and Manufacturing
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Shape interrogation is the process of extraction of information from a geometric model. It is a fundamental component of Computer Aided Design and Manufacturing (CAD/CAM) systems. The authors focus on shape interrogation of geometric models bounded by free-form surfaces. Free-form surfaces, also called sculptured surfaces, are widely used in the bodies of ships, automobiles and aircraft, which have both functionality and attractive shape requirements. Many electronic devices as well as consumer products are designed with aesthetic shapes, which involve free-form surfaces. This book provides the mathematical fundamentals as well as...
Books [Thomas Weise] Global Optimization Algorithms: Theory and Application
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This book is devoted to global optimization algorithms, which are methods to find optimal solutions for given problems. It especially focuses on Evolutionary Computation by discussing evolutionary algorithms, genetic algorithms, Genetic Programming, Learning Classifier Systems, Evolution Strategy, Differential Evolution, Particle Swarm Optimization, and Ant Colony Optimization.
It also elaborates on other metaheuristics like Simulated Annealing, Extremal Optimization, Tabu Search, and Random Optimization. The book is no book in the conventional sense: Because of frequent updates and changes, it is not really intended for sequential...
Books [Patrick Felicia] A Quick Guide to Artificial Intelligence with Unity
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Why this book can help you to get started fast with Artificial Intelligence and Unity
It can be intimidating to start with Unity, and while several books can provide comprehensive information, you may, like many other readers, just want to focus on a particular topic and get started fast.
This book is part of a series entitled A Quick Guide To, and does just this. In this book series, you have the opportunity to get started on a particular topic in less than 60 minutes, delving right into the information that you really need. Of course, you can, after reading this book, move-on to more comprehensive books; however, quite...
Books [Jean H. Gallier] Logic for Computer Science: Foundations of Automatic Theorem Proving
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This advanced text for undergraduate and graduate students introduces mathematical logic with an emphasis on proof theory and procedures for algorithmic construction of formal proofs. The self-contained treatment is also useful for computer scientists and mathematically inclined readers interested in the formalization of proofs and basics of automatic theorem proving.
Topics include propositional logic and its resolution, first-order logic, Gentzen's cut elimination theorem and applications, and Gentzen's sharpened Hauptsatz and Herbrand's theorem. Additional subjects include resolution in first-order logic; SLD-resolution, logic...
Books [Elaine Chang and Darren Jeford] A Developer's Guide to Building AI Applications
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If you're interested in building AI applications, this ebook will walk you through the creation of a virtual assistant, a conversational AI app that can understand language, perceive vast amounts of information, and respond intelligently. You'll learn about the AI resources and capabilities that are available to developers and get advice on how to apply well-tested AI solutions to everyday problems
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Books [Ovidiu Vermesan, Franz Wotawa, Mario Diaz Nava, Björn Debaillie] Industrial Artificial Intelligence Technologies and Applications
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The advances in industrial edge artificial intelligence (AI) are transforming the way industrial equipment and machines interact with the real world, with other machines and humans during manufacturing processes. These advances allow Industrial Internet of Things (IIoT) and edge devices to make decisions during the manufacturing processes using sensors and actuators.
Digital transformation is reshaping the manufacturing industry, and industrial edge AI aims to combine the potential advantages of edge computing (low latency times, reduced bandwidth, distributed architecture, improved trustworthiness, etc.) with the benefits of AI...
Books [Keith L. Downing] Gradient Expectations: Structure, Origins, and Synthesis of Predictive Neural Networks
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An insightful investigation into the mechanisms underlying the predictive functions of neural networks—and their ability to chart a new path for AI.
Prediction is a cognitive advantage like few others, inherently linked to our ability to survive and thrive. Our brains are awash in signals that embody prediction. Can we extend this capability more explicitly into synthetic neural networks to improve the function of AI and enhance its place in our world?Gradient Expectations is a bold effort by Keith L. Downing to map the origins and anatomy of natural and artificial neural networks to explore how, when designed as predictive modules...
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