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I would highly recommend ?he Hundred-Page Machine Learning Book?for both the beginner looking to learn more about machine learning and the experienced practitioner seeking to extend their knowledge base.\"Everything you really need to know in Machine Learning in a hundred pages.\u003c\/p\u003e\n        \u003cul\u003e\u003cli\u003e\u003c\/ul\u003e\n        ","brand":"Miakarts Books","offers":[{"title":"Default Title","offer_id":51284991770912,"sku":"NEW199957950X","price":37.64,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0980\/7426\/3840\/files\/51DQ9Bs-h-L.jpg?v=1772455795"},{"product_id":"gpu-based-parallel-implementation-of-swarm-intelligence-algo-0128093625","title":"GPU-based Parallel Implementation of Swarm Intelligence Algo","description":"\n        \u003cp\u003e\u003cstrong\u003eISBN:\u003c\/strong\u003e 0128093625\u003c\/p\u003e\n        \u003cp\u003e\u003cstrong\u003eAuthor:\u003c\/strong\u003e Tan, Ying\u003c\/p\u003e\n        \u003cp\u003e\u003cstrong\u003eCondition:\u003c\/strong\u003e new\u003c\/p\u003e\n        \u003cp\u003eGPU-based Parallel Implementation of Swarm Intelligence Algorithms combines and covers two emerging areas attracting increased attention and applications: graphics processing units (GPUs) for general-purpose computing (GPGPU) and swarm intelligence. This book not only presents GPGPU in adequate detail, but also includes guidance on the appropriate implementation of swarm intelligence algorithms on the GPU platform.GPU-based implementations of several typical swarm intelligence algorithms such as PSO, FWA, GA, DE, and ACO are presented and having described the implementation details including parallel models, implementation considerations as well as performance metrics are discussed. Finally, several typical applications of GPU-based swarm intelligence algorithms are presented. This valuable reference book provides a unique perspective not possible by studying either GPGPU or swarm intelligence alone.This book gives a complete and whole picture for interested readers and new comers who will find many implementation algorithms in the book suitable for immediate use in their projects. Additionally, some algorithms can also be used as a starting point for further research. Presents a concise but sufficient introduction to general-purpose GPU computing which can help the layman become familiar with this emerging computing technique Describes implementation details, such as parallel models and performance metrics, so readers can easily utilize the techniques to accelerate their algorithmic programs Appeals to readers from the domain of high performance computing (HPC) who will find the relatively young research domain of swarm intelligence very interesting Includes many real-world applications, which can be of great help in deciding whether or not swarm intelligence algorithms or GPGPU is appropriate for the task at hand\u003c\/p\u003e\n        \u003cul\u003e\u003cli\u003e\u003c\/ul\u003e\n        ","brand":"Miakarts Books","offers":[{"title":"Default Title","offer_id":51286431826208,"sku":null,"price":59.51,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0980\/7426\/3840\/files\/71qbzTZkAgL.jpg?v=1772478279"},{"product_id":"artificial-intelligence-a-modern-approach-by-russell-stuar-0136042597","title":"Artificial Intelligence: A Modern Approach by Russell, Stuar","description":"\n        \u003cp\u003e\u003cstrong\u003eISBN:\u003c\/strong\u003e 0136042597\u003c\/p\u003e\n        \u003cp\u003e\u003cstrong\u003eAuthor:\u003c\/strong\u003e Russell, Stuart\u003c\/p\u003e\n        \u003cp\u003e\u003cstrong\u003eCondition:\u003c\/strong\u003e new\u003c\/p\u003e\n        \u003cp\u003eArtificial Intelligence: A Modern Approach, 3e offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence. Number one in its field, this textbook is ideal for one or two-semester, undergraduate or graduate-level courses in Artificial Intelligence.Dr. Peter Norvig, contributing Artificial Intelligence author and Professor Sebastian Thrun, a Pearson author are offering a free online course at Stanford University on artificial intelligence.According to an article in The New York Times, the course on artificial intelligence is ?one of three being offered experimentally by the Stanford computer science department to extend technology knowledge and skills beyond this elite campus to the entire world.? One of the other two courses, an introduction to database software, is being taught by Pearson author Dr. Jennifer Widom.Artificial Intelligence: A Modern Approach, 3e is available to purchase as an eText for your KindleTM, NOOKTM, and the iPhone?\/iPad?.To learn more about the course on artificial intelligence, visit http:\/\/www.ai-class.com. To read the full New York Times article, click here.\u003c\/p\u003e\n        \u003cul\u003e\u003cli\u003e\u003c\/ul\u003e\n        ","brand":"Miakarts Books","offers":[{"title":"Default Title","offer_id":51290009043232,"sku":"NEW0136042597","price":153.84,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0980\/7426\/3840\/files\/41d9HVJpiUL.jpg?v=1772551827"},{"product_id":"natural-born-cyborgs-minds-technologies-and-the-future-of-0195148665","title":"Natural-Born Cyborgs: Minds, Technologies, and the Future of","description":"\n        \u003cp\u003e\u003cstrong\u003eISBN:\u003c\/strong\u003e 0195148665\u003c\/p\u003e\n        \u003cp\u003e\u003cstrong\u003eAuthor:\u003c\/strong\u003e Clark, Andy\u003c\/p\u003e\n        \u003cp\u003e\u003cstrong\u003eCondition:\u003c\/strong\u003e new\u003c\/p\u003e\n        \u003cp\u003eFrom Robocop to the Terminator to Eve 8, no image better captures our deepest fears about technology than the cyborg, the person who is both flesh and metal, brain and electronics. But philosopher and cognitive scientist Andy Clark sees it differently. Cyborgs, he writes, are not something to be feared--we already are cyborgs.In Natural-Born Cyborgs, Clark argues that what makes humans so different from other species is our capacity to fully incorporate tools and supporting cultural practices into our existence. Technology as simple as writing on a sketchpad, as familiar as Google or a cellular phone, and as potentially revolutionary as mind-extending neural implants--all exploit our brains astonishingly plastic nature. Our minds are primed to seek out and incorporate non-biological resources, so that we actually think and feel through our best technologies. Drawing on his expertise in cognitive science, Clark demonstrates that our sense of self and of physical presence can be expanded to a remarkable extent, placing the long-existing telephone and the emerging technology of telepresence on the same continuum. He explores ways in which we have adapted our lives to make use of technology (the measurement of time, for example, has wrought enormous changes in human existence), as well as ways in which increasingly fluid technologies can adapt to individual users during normal use. Bio-technological unions, Clark argues, are evolving with a speed never seen before in history. As we enter an age of wearable computers, sensory augmentation, wireless devices, intelligent environments, thought-controlled prosthetics, and rapid-fire information search and retrieval, the line between the user and her tools grows thinner day by day. \"This double whammy of plastic brains and increasingly responsive and well-fitted tools creates an unprecedented opportunity for ever-closer kinds of human-machine merger,\" he writes, arguing that such a merger is entirely natural.A stunning new look at the human brain and the human self, Natural Born Cyborgs reveals how our technology is indeed inseparable from who we are and how we think.\u003c\/p\u003e\n        \u003cul\u003e\u003cli\u003e\u003c\/ul\u003e\n        ","brand":"Miakarts Books","offers":[{"title":"Default Title","offer_id":51290077200672,"sku":"NEW0195148665","price":48.03,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0980\/7426\/3840\/files\/91a2aC84rsL.jpg?v=1785787566"},{"product_id":"my-mother-was-a-computer-digital-subjects-and-literary-text-0226321479","title":"My Mother Was a Computer: Digital Subjects and Literary Text","description":"\n        \u003cp\u003e\u003cstrong\u003eISBN:\u003c\/strong\u003e 0226321479\u003c\/p\u003e\n        \u003cp\u003e\u003cstrong\u003eAuthor:\u003c\/strong\u003e Hayles, N. Katherine\u003c\/p\u003e\n        \u003cp\u003e\u003cstrong\u003eCondition:\u003c\/strong\u003e new\u003c\/p\u003e\n        \u003cp\u003eWe live in a world, according to N. Katherine Hayles, where new languages are constantly emerging, proliferating, and fading into obsolescence. These are languages of our own making: the programming languages written in code for the intelligent machines we call computers. Hayles's latest exploration provides an exciting new way of understanding the relations between code and language and considers how their interactions have affected creative, technological, and artistic practices.My Mother Was a Computer explores how the impact of code on everyday life has become comparable to that of speech and writing: language and code have grown more entangled, the lines that once separated humans from machines, analog from digital, and old technologies from new ones have become blurred. My Mother Was a Computer gives us the tools necessary to make sense of these complex relationships. Hayles argues that we live in an age of intermediation that challenges our ideas about language, subjectivity, literary objects, and textuality. This process of intermediation takes place where digital media interact with cultural practices associated with older media, and here Hayles sharply portrays such interactions: how code differs from speech; how electronic text differs from print; the effects of digital media on the idea of the self; the effects of digitality on printed books; our conceptions of computers as living beings; the possibility that human consciousness itself might be computational; and the subjective cosmology wherein humans see the universe through the lens of their own digital age.We are the children of computers in more than one sense, and no critic has done more than N. Katherine Hayles to explain how these technologies define us and our culture. Heady and provocative, My Mother Was a Computer will be judged as her best work yet.\u003c\/p\u003e\n        \u003cul\u003e\u003cli\u003e\u003c\/ul\u003e\n        ","brand":"Miakarts Books","offers":[{"title":"Default Title","offer_id":51290738983200,"sku":"NEW0226321479","price":93.33,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0980\/7426\/3840\/files\/31mbD4DIuqL.jpg?v=1772563523"},{"product_id":"artificial-intelligence-a-systems-approach-from-architectur-0262048981","title":"Artificial Intelligence: A Systems Approach from Architectur","description":"\n        \u003cp\u003e\u003cstrong\u003eISBN:\u003c\/strong\u003e 0262048981\u003c\/p\u003e\n        \u003cp\u003e\u003cstrong\u003eAuthor:\u003c\/strong\u003e Martinez, David R.\u003c\/p\u003e\n        \u003cp\u003e\u003cstrong\u003eCondition:\u003c\/strong\u003e new\u003c\/p\u003e\n        \u003cp\u003eThe first text to take a systems engineering approach to artificial intelligence (AI), from architecture principles to the development and deployment of AI capabilities.Most books on artificial intelligence (AI) focus on a single functional building block, such as machine learning or human-machine teaming. Artificial Intelligence takes a more holistic approach, addressing AI from the view of systems engineering. The book centers on the people-process-technology triad that is critical to successful development of AI products and services. Development starts with an AI design, based on the AI system architecture, and culminates with successful deployment of the AI capabilities. Directed toward AI developers and operational users, this accessibly written volume of the MIT Lincoln Laboratory Series can also serve as a text for undergraduate seniors and graduate-level students and as a reference book.Key features:In-depth look at modern computing technologies Systems engineering description and means to successfully undertake an AI product or service development through deployment Existing methods for applying machine learning operations (MLOps) AI system architecture including a description of each of the AI pipeline building blocks Challenges and approaches to attend to responsible AI in practice Tools to develop a strategic roadmap and techniques to foster an innovative team environment Multiple use cases that stem from the authors MIT classes, as well as from AI practitioners, AI project managers, early-career AI team leaders, technical executives, and entrepreneurs Exercises and Jupyter notebook examples\u003c\/p\u003e\n        \u003cul\u003e\u003cli\u003e\u003c\/ul\u003e\n        ","brand":"Miakarts Books","offers":[{"title":"Default Title","offer_id":51290995884320,"sku":"NEW0262048981","price":69.09,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0980\/7426\/3840\/files\/616v3GJEDDL.jpg?v=1772566278"},{"product_id":"signals-and-boundaries-building-blocks-for-complex-adaptive-0262525933","title":"Signals and Boundaries: Building Blocks for Complex Adaptive","description":"\n        \u003cp\u003e\u003cstrong\u003eISBN:\u003c\/strong\u003e 0262525933\u003c\/p\u003e\n        \u003cp\u003e\u003cstrong\u003eAuthor:\u003c\/strong\u003e Holland, John H.\u003c\/p\u003e\n        \u003cp\u003e\u003cstrong\u003eCondition:\u003c\/strong\u003e new\u003c\/p\u003e\n        \u003cp\u003eAn overarching framework for comparing and steering complex adaptive systems is developed through understanding the mechanisms that generate their intricate signal\/boundary hierarchies.Complex adaptive systems (cas), including ecosystems, governments, biological cells, and markets, are characterized by intricate hierarchical arrangements of boundaries and signals. In ecosystems, for example, niches act as semi-permeable boundaries, and smells and visual patterns serve as signals; governments have departmental hierarchies with memoranda acting as signals; and so it is with other cas. Despite a wealth of data and descriptions concerning different cas, there remain many unanswered questions about \"steering\" these systems. In Signals and Boundaries, John Holland argues that understanding the origin of the intricate signal\/border hierarchies of these systems is the key to answering such questions. He develops an overarching framework for comparing and steering cas through the mechanisms that generate their signal\/boundary hierarchies.Holland lays out a path for developing the framework that emphasizes agents, niches, theory, and mathematical models. He discusses, among other topics, theory construction; signal-processing agents; networks as representations of signal\/boundary interaction; adaptation; recombination and reproduction; the use of tagged urn models (adapted from elementary probability theory) to represent boundary hierarchies; finitely generated systems as a way to tie the models examined into a single framework; the framework itself, illustrated by a simple finitely generated version of the development of a multi-celled organism; and Markov processes.\u003c\/p\u003e\n        \u003cul\u003e\u003cli\u003e\u003c\/ul\u003e\n        ","brand":"Miakarts Books","offers":[{"title":"Default Title","offer_id":51291038712096,"sku":"NEW0262525933","price":23.12,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0980\/7426\/3840\/files\/71tj_MxZ-6L.jpg?v=1772566913"},{"product_id":"mind-design-ii-philosophy-psychology-and-artificial-intel-0262581531","title":"Mind Design II: Philosophy, Psychology, and Artificial Intel","description":"\n        \u003cp\u003e\u003cstrong\u003eISBN:\u003c\/strong\u003e 0262581531\u003c\/p\u003e\n        \u003cp\u003e\u003cstrong\u003eAuthor:\u003c\/strong\u003e Haugeland, John\u003c\/p\u003e\n        \u003cp\u003e\u003cstrong\u003eCondition:\u003c\/strong\u003e new\u003c\/p\u003e\n        \u003cp\u003eMind design is the endeavor to understand mind (thinking, intellect) in terms of its design (how it is built, how it works). Unlike traditional empirical psychology, it is more oriented toward the \"how\" than the \"what.\" An experiment in mind design is more likely to be an attempt to build something and make it work-as in artificial intelligence-than to observe or analyze what already exists. Mind design is psychology by reverse engineering.When Mind Design was first published in 1981, it became a classic in the then-nascent fields of cognitive science and AI. This second edition retains four landmark essays from the first, adding to them one earlier milestone (Turing's \"Computing Machinery and Intelligence\") and eleven more recent articles about connectionism, dynamical systems, and symbolic versus nonsymbolic models. The contributors are divided about evenly between philosophers and scientists. Yet all are \"philosophical\" in that they address fundamental issues and concepts; and all are \"scientific\" in that they are technically sophisticated and concerned with concrete empirical research.ContributorsRodney A. Brooks, Paul M. Churchland, Andy Clark, Daniel C. Dennett, Hubert L. Dreyfus, Jerry A. Fodor, Joseph Garon, John Haugeland, Marvin Minsky, Allen Newell, Zenon W. Pylyshyn, William Ramsey, Jay F. Rosenberg, David E. Rumelhart, John R. Searle, Herbert A. Simon, Paul Smolensky, Stephen Stich, A.M. Turing, Timothy van Gelder\u003c\/p\u003e\n        \u003cul\u003e\u003cli\u003e\u003c\/ul\u003e\n        ","brand":"Miakarts Books","offers":[{"title":"Default Title","offer_id":51291275723040,"sku":"NEW0262581531","price":30.21,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0980\/7426\/3840\/files\/71QFFnXcD0L.jpg?v=1772570367"},{"product_id":"logic-primer-2nd-edition-by-allen-colin-0262511266","title":"Logic Primer - 2nd Edition by Allen, Colin","description":"\n        \u003cp\u003e\u003cstrong\u003eISBN:\u003c\/strong\u003e 0262511266\u003c\/p\u003e\n        \u003cp\u003e\u003cstrong\u003eAuthor:\u003c\/strong\u003e Allen, Colin\u003c\/p\u003e\n        \u003cp\u003e\u003cstrong\u003eCondition:\u003c\/strong\u003e new\u003c\/p\u003e\n        \u003cp\u003eLogic Primer presents a rigorous introduction to natural deduction systems of sentential and first-order logic.Logic Primer presents a rigorous introduction to natural deduction systems of sentential and first-order logic. The text is designed to foster the student-instructor relationship. The key concepts are laid out in concise definitions and comments, with the expectation that the instructor will elaborate upon them. New to the second edition is the addition of material on the logic of identity in chapters 3 and 4. An innovative interactive Web site, consisting of a \"Logic Daemon\" and a \"Quizmaster,\" encourages students to formulate their own proofs and links them to appropriate explanations in the book.\u003c\/p\u003e\n        \u003cul\u003e\u003cli\u003e\u003c\/ul\u003e\n        ","brand":"Miakarts Books","offers":[{"title":"Default Title","offer_id":51291415118112,"sku":"NEW0262511266","price":57.82,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0980\/7426\/3840\/files\/61EQHwRXl6L.jpg?v=1772571537"},{"product_id":"artificial-intelligence-structures-and-strategies-for-compl-0321545893","title":"Artificial Intelligence: Structures and Strategies for Compl","description":"\n        \u003cp\u003e\u003cstrong\u003eISBN:\u003c\/strong\u003e 0321545893\u003c\/p\u003e\n        \u003cp\u003e\u003cstrong\u003eAuthor:\u003c\/strong\u003e Luger, George\u003c\/p\u003e\n        \u003cp\u003e\u003cstrong\u003eCondition:\u003c\/strong\u003e new\u003c\/p\u003e\n        \u003cp\u003eArtificial Intelligence: Structures and Strategies for Complex Problem Solving is ideal for a one- or two-semester undergraduate course on AI.In this accessible, comprehensive text, George Luger captures the essence of artificial intelligence-solving the complex problems that arise wherever computer technology is applied. Ideal for an undergraduate course in AI, the Sixth Edition presents the fundamental concepts of the discipline first then goes into detail with the practical information necessary to implement the algorithms and strategies discussed. Readers learn how to use a number of different software tools and techniques to address the many challenges faced by todays computer scientists.\u003c\/p\u003e\n        \u003cul\u003e\u003cli\u003eAccessible presentation: The combination of a thorough and balanced treatment of the theoretical foundations of intelligent problem solving with the data structures and algorithms needed for implementation provides a holistic picture for students. | AI foundations: A unique discussion of the history of AI and social and the associated philosophical issues is presented in the early chapters. | Applied programming languages: Example programs are written in three programming languages, Prolog, Lisp, and Java | Applications in context: The practical applications of AI are put into context using model-based reasoning and planning examples from the NASA space program. Comments on the AI endeavor from the perspectives of philosophy, psychology and neuro-physiology give students a holistic picture of AI\u003c\/li\u003e\u003c\/ul\u003e\n        ","brand":"Miakarts Books","offers":[{"title":"Default Title","offer_id":51292346024224,"sku":"NEW0321545893","price":164.44,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0980\/7426\/3840\/files\/518J7kmxVJL.jpg?v=1772587176"},{"product_id":"you-look-like-a-thing-and-i-love-you-how-artificial-intelli-0316525243","title":"You Look Like a Thing and I Love You: How Artificial Intelli","description":"\n        \u003cp\u003e\u003cstrong\u003eISBN:\u003c\/strong\u003e 0316525243\u003c\/p\u003e\n        \u003cp\u003e\u003cstrong\u003eAuthor:\u003c\/strong\u003e Shane, Janelle\u003c\/p\u003e\n        \u003cp\u003e\u003cstrong\u003eCondition:\u003c\/strong\u003e new\u003c\/p\u003e\n        \u003cp\u003eAs heard on NPR's \"Science Friday,\" discover the book recommended by Malcolm Gladwell, Susan Cain, Daniel Pink, and Adam Grant: an \"affectionately down-to-earth to the year's most hype-prone field of tech\" (theverge.com).\"You look like a thing and I love you\" is one of the best pickup lines ever . . . according to an artificial intelligence trained by scientist Janelle Shane, creator of the popular blog AI Weirdness. She creates silly AIs that learn how to name paint colors, create the best recipes, and even flirt (badly) with humans-all to understand the technology that governs so much of our daily lives.We rely on AI every day for recommendations, for translations, and to put cat ears on our selfie videos. We also trust AI with matters of life and death, on the road and in our hospitals. But how smart is AI really... and how does it solve problems, understand humans, and even drive self-driving cars?Shane delivers the answers to every AI question you've ever asked, and some you definitely haven't. Like, how can a computer design the perfect sandwich? What does robot-generated Harry Potter fan-fiction look like? And is the world's best Halloween costume really \"Vampire Hog Bride\"?In this smart, often hilarious introduction to the most interesting science of our time, Shane shows how these programs learn, fail, and adapt-and how they reflect the best and worst of humanity.You Look Like a Thing and I Love You is the perfect book for anyone curious about what the robots in our lives are thinking.\"I can't think of a better way to learn about artificial intelligence, and I've never had so much fun along the way.\" -Adam Grant, New York Times bestselling author of Originals\u003c\/p\u003e\n        \u003cul\u003e\u003cli\u003e\u003c\/ul\u003e\n        ","brand":"Miakarts Books","offers":[{"title":"Default Title","offer_id":51292360311072,"sku":"NEW0316525243","price":28.27,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0980\/7426\/3840\/files\/71cNXEEbmEL.jpg?v=1772587574"},{"product_id":"geometric-fundamentals-of-robotics-monographs-in-computer-s-0387208747","title":"Geometric Fundamentals of Robotics (Monographs in Computer S","description":"\n        \u003cp\u003e\u003cstrong\u003eISBN:\u003c\/strong\u003e 0387208747\u003c\/p\u003e\n        \u003cp\u003e\u003cstrong\u003eAuthor:\u003c\/strong\u003e Selig, J.M.\u003c\/p\u003e\n        \u003cp\u003e\u003cstrong\u003eCondition:\u003c\/strong\u003e new\u003c\/p\u003e\n        \u003cp\u003eGeometric Fundamentals of Robotics provides an elegant introduction to the geometric concepts that are important to applications in robotics. This second edition is still unique in providing a deep understanding of the subject: rather than focusing on computational results in kinematics and robotics, it includes significant state-of-the-art material that reflects important advances in the field, connecting robotics back to mathematical fundamentals in group theory and geometry.Geometric Fundamentals of Robotics serves a wide audience of graduate students as well as researchers in a variety of areas, notably mechanical engineering, computer science, and applied mathematics. It is also an invaluable reference text.\u003c\/p\u003e\n        \u003cul\u003e\u003cli\u003e\u003c\/ul\u003e\n        ","brand":"Miakarts Books","offers":[{"title":"Default Title","offer_id":51292818964768,"sku":"NEW0387208747","price":77.06,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0980\/7426\/3840\/files\/51nZS0eRJ0L.jpg?v=1772595577"},{"product_id":"logic-for-applications-texts-in-computer-science-by-nerode-0387948937","title":"Logic for Applications (Texts in Computer Science) by Nerode","description":"\n        \u003cp\u003e\u003cstrong\u003eISBN:\u003c\/strong\u003e 0387948937\u003c\/p\u003e\n        \u003cp\u003e\u003cstrong\u003eAuthor:\u003c\/strong\u003e Nerode, Anil\u003c\/p\u003e\n        \u003cp\u003e\u003cstrong\u003eCondition:\u003c\/strong\u003e new\u003c\/p\u003e\n        \u003cp\u003eIn writing this book, our goal was to produce a text suitable for a first course in mathematical logic more attuned than the traditional textbooks to the re cent dramatic growth in the applications oflogic to computer science. Thus, our choice oftopics has been heavily influenced by such applications. Of course, we cover the basic traditional topics: syntax, semantics, soundnes5, completeness and compactness as well as a few more advanced results such as the theorems of Skolem-Lowenheim and Herbrand. Much ofour book, however, deals with other less traditional topics. Resolution theorem proving plays a major role in our treatment of logic especially in its application to Logic Programming and PRO LOG. We deal extensively with the mathematical foundations ofall three ofthese subjects. In addition, we include two chapters on nonclassical logics - modal and intuitionistic - that are becoming increasingly important in computer sci ence. We develop the basic material on the syntax and semantics (via Kripke frames) for each of these logics. In both cases, our approach to formal proofs, soundness and completeness uses modifications of the same tableau method in troduced for classical logic. We indicate how it can easily be adapted to various other special types of modal logics. A number of more advanced topics (includ ing nonmonotonic logic) are also briefly introduced both in the nonclassical logic chapters and in the material on Logic Programming and PROLOG.\u003c\/p\u003e\n        \u003cul\u003e\u003cli\u003e\u003c\/ul\u003e\n        ","brand":"Miakarts Books","offers":[{"title":"Default Title","offer_id":51301386125600,"sku":"NEW0387948937","price":147.21,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0980\/7426\/3840\/files\/61E4b-RB7yL.jpg?v=1772726897"},{"product_id":"scaling-up-machine-learning-parallel-and-distributed-approa-0521192242","title":"Scaling up Machine Learning: Parallel and Distributed Approa","description":"\n        \u003cp\u003e\u003cstrong\u003eISBN:\u003c\/strong\u003e 0521192242\u003c\/p\u003e\n        \u003cp\u003e\u003cstrong\u003eAuthor:\u003c\/strong\u003e Bekkerman, Ron\u003c\/p\u003e\n        \u003cp\u003e\u003cstrong\u003eCondition:\u003c\/strong\u003e new\u003c\/p\u003e\n        \u003cp\u003eThis book presents an integrated collection of representative approaches for scaling up machine learning and data mining methods on parallel and distributed computing platforms. Demand for parallelizing learning algorithms is highly task-specific: in some settings it is driven by the enormous dataset sizes, in others by model complexity or by real-time performance requirements. Making task-appropriate algorithm and platform choices for large-scale machine learning requires understanding the benefits, trade-offs, and constraints of the available options. Solutions presented in the book cover a range of parallelization platforms from FPGAs and GPUs to multi-core systems and commodity clusters, concurrent programming frameworks including CUDA, MPI, MapReduce, and DryadLINQ, and learning settings (supervised, unsupervised, semi-supervised, and online learning). Extensive coverage of parallelization of boosted trees, SVMs, spectral clustering, belief propagation and other popular learning algorithms and deep dives into several applications make the book equally useful for researchers, students, and practitioners.\u003c\/p\u003e\n        \u003cul\u003e\u003cli\u003e\u003c\/ul\u003e\n        ","brand":"Miakarts Books","offers":[{"title":"Default Title","offer_id":51303177421088,"sku":null,"price":85.26,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0980\/7426\/3840\/files\/61e_tbDqXlL.jpg?v=1772747076"},{"product_id":"human-compatible-artificial-intelligence-and-the-problem-of-0525558616","title":"Human Compatible: Artificial Intelligence and the Problem of","description":"\n        \u003cp\u003e\u003cstrong\u003eISBN:\u003c\/strong\u003e 0525558616\u003c\/p\u003e\n        \u003cp\u003e\u003cstrong\u003eAuthor:\u003c\/strong\u003e Russell, Stuart\u003c\/p\u003e\n        \u003cp\u003e\u003cstrong\u003eCondition:\u003c\/strong\u003e new\u003c\/p\u003e\n        \u003cp\u003e\"The most important book on AI this year.\" --The Guardian\"Mr. Russell's exciting book goes deep, while sparkling with dry witticisms.\" --The Wall Street Journal\"The most important book I have read in quite some time\" (Daniel Kahneman); \"A must-read\" (Max Tegmark); \"The book we've all been waiting for\" (Sam Harris)A leading artificial intelligence researcher lays out a new approach to AI that will enable us to coexist successfully with increasingly intelligent machinesIn the popular imagination, superhuman artificial intelligence is an approaching tidal wave that threatens not just jobs and human relationships, but civilization itself. Conflict between humans and machines is seen as inevitable and its outcome all too predictable.In this groundbreaking book, distinguished AI researcher Stuart Russell argues that this scenario can be avoided, but only if we rethink AI from the ground up. Russell begins by exploring the idea of intelligence in humans and in machines. He describes the near-term benefits we can expect, from intelligent personal assistants to vastly accelerated scientific research, and outlines the AI breakthroughs that still have to happen before we reach superhuman AI. He also spells out the ways humans are already finding to misuse AI, from lethal autonomous weapons to viral sabotage.If the predicted breakthroughs occur and superhuman AI emerges, we will have created entities far more powerful than ourselves. How can we ensure they never, ever, have power over us? Russell suggests that we can rebuild AI on a new foundation, according to which machines are designed to be inherently uncertain about the human preferences they are required to satisfy. Such machines would be humble, altruistic, and committed to pursue our objectives, not theirs. This new foundation would allow us to create machines that are provably deferential and provably beneficial.\u003c\/p\u003e\n        \u003cul\u003e\u003cli\u003e\u003c\/ul\u003e\n        ","brand":"Miakarts Books","offers":[{"title":"Default Title","offer_id":51305138061600,"sku":null,"price":56.35,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0980\/7426\/3840\/files\/71h9jhxr7vL.jpg?v=1772751421"},{"product_id":"jessie-willcox-smith-by-schnessel-s-michael-0690014937","title":"Jessie Willcox Smith by Schnessel, S. 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Each volume begins with a comprehensive introduction that places the coverage in a broader perspective and links it with material in the companion volumes. The collection is of interest in many disciplines including computer science, linguistics, biology, information science, psychology, neuroscience, iconography, and philosophy.Examines initial efforts and the latest controversiesThe topics covered range from the bedrock assumptions of the computational approach to understanding the mind, to the more recent debates concerning cognitive architectures, all the way to the latest developments in robotics, artificial life, and dynamical systems theory. The collection first examines the lineage of major research programs, beginning with the basic idea of machine intelligence itself, then focuses on specific aspects of thought and intelligence, highlighting the much-discussed issue of consciousness, the equally important, but less densely researched issue of emotional response, and the more traditionally philosophical topic of language and meaning.Provides a gamut of perspectivesThe editors have included several articles that challenge crucial elements of the familiar research program of cognitive science, as well as important writings whose previous circulation has been limited. Within each volume the papers are organized to reflect a variety of research programs and issues. 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However, a new generation of artificial intelligence algorithms, in the form of deep neural networks, is rapidly eliminating that advantage. Deep neural networks rely on adaptive algorithms to master a wide variety of tasks, including cancer diagnosis, object recognition, speech recognition, robotic control, chess, poker, backgammon and Go, at super-human levels of performance. In this richly illustrated book, key neural network learning algorithms are explained informally first, followed by detailed mathematical analyses. Topics include both historically important neural networks (perceptrons, Hopfield nets, Boltzmann machines and backpropagation networks), and modern deep neural networks (variational autoencoders, convolutional networks, generative adversarial networks, and reinforcement learning using SARSA and Q-learning). Online computer programs, collated from open source repositories, give hands-on experience of neural networks, and PowerPoint slides provide support for teaching. Written in an informal style, with a comprehensive glossary, tutorial appendices (e.g. Bayes' theorem, maximum likelihood estimation), and a list of further readings, this is an ideal introduction to the algorithmic engines of modern artificial intelligence.Dr James V Stone is an Honorary Associate Professor at the University of Sheffield, England.\u003c\/p\u003e","brand":"Mia Karts","offers":[{"title":"Default Title","offer_id":51310789755168,"sku":"NEW0956372813","price":28.83,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0980\/7426\/3840\/files\/71P9xBol42L.jpg?v=1772834793"},{"product_id":"machine-learning-engineering-1777005469","title":"Machine Learning Engineering","description":"\u003cp\u003e\u003cstrong\u003eISBN:\u003c\/strong\u003e 1777005469\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eAuthor:\u003c\/strong\u003e Burkov, Andriy\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eCondition:\u003c\/strong\u003e New\u003c\/p\u003e\u003cp\u003eThe most comprehensive book on the engineering aspects of building reliable AI systems.\"If you intend to use machine learning to solve business problems at scale, I'm delighted you got your hands on this book.\"-Cassie Kozyrkov, Chief Decision Scientist at Google\"Foundational work about the reality of building machine learning models in production.\"-Karolis Urbonas, Head of Machine Learning and Science at Amazon\u003c\/p\u003e","brand":"Mia Karts","offers":[{"title":"Default Title","offer_id":51320640536864,"sku":"NEW1777005469","price":56.61,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0980\/7426\/3840\/files\/51Y4KNlUP3L.jpg?v=1773078186"},{"product_id":"matlab-for-machine-learning-practical-examples-of-regression-clustering-and-neural-networks-1788398432","title":"MATLAB for Machine Learning: Practical examples of regression, clustering and neural networks","description":"\u003cp\u003e\u003cstrong\u003eISBN:\u003c\/strong\u003e 1788398432\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eAuthor:\u003c\/strong\u003e Ciaburro, Giuseppe\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eCondition:\u003c\/strong\u003e New\u003c\/p\u003e\u003cp\u003eExtract patterns and knowledge from your data in easy way using MATLABAbout This BookGet your first steps into machine learning with the help of this easy-to-follow guide Learn regression, clustering, classification, predictive analytics, artificial neural networks and more with MATLAB Understand how your data works and identify hidden layers in the data with the power of machine learning.Who This Book Is ForThis book is for data analysts, data scientists, students, or anyone who is looking to get started with machine learning and want to build efficient data processing and predicting applications. A mathematical and statistical background will really help in following this book well.What You Will LearnLearn the introductory concepts of machine learning. Discover different ways to transform data using SAS XPORT, import and export tools, Explore the different types of regression techniques such as simple \u0026amp; multiple linear regression, ordinary least squares estimation, correlations and how to apply them to your data. Discover the basics of classification methods and how to implement Naive Bayes algorithm and Decision Trees in the Matlab environment. Uncover how to use clustering methods like hierarchical clustering to grouping data using the similarity measures. Know how to perform data fitting, pattern recognition, and clustering analysis with the help of MATLAB Neural Network Toolbox. Learn feature selection and extraction for dimensionality reduction leading to improved performance.In DetailMATLAB is the language of choice for many researchers and mathematics experts for machine learning. This book will help you build a foundation in machine learning using MATLAB for beginners.Youll start by getting your system ready with t he MATLAB environment for machine learning and youll see how to easily interact with the Matlab workspace. Well then move on to data cleansing, mining and analyzing various data types in machine learning and youll see how to display data values on a plot. Next, youll get to know about the different types of regression techniques and how to apply them to your data using the MATLAB functions.Youll understand the basic concepts of neural networks and perform data fitting, pattern recognition, and clustering analysis. Finally, youll explore feature selection and extraction techniques for dimensionality reduction for performance improvement.At the end of the book, you will learn to put it all together into real-world cases covering major machine learning algorithms and be comfortable in performing machine learning with MATLAB.Style and approachThe book takes a very comprehensive approach to enhance your understanding of machine learning using MATLAB. 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A fascinating, cutting-edge, research topic, autonomous mobile robotics is now taught in more and more universities. In this book you are introduced to the fundamental concepts of this complex field via twelve detailed case studies that show how to build and program real working robots. Topics covered in clued learning, autonomous navigation in unmodified, noisy and unpredictable environments, and high fidelity robot simulation. This new edition has been updated to include a new chapter on novelty detection, and provides a very practical introduction to mobile robotics for a general scientific audience. It is essential reading for 2nd and 3rd year undergraduate students and postgraduate students studying robotics, artificial intelligence, cognitive science and robot engineering. The update and overview of core concepts in mobile robotics will assist and encourage practitioners of the field and set challenges to explore new avenues of research in this exiting field. The author is Senior Lecturer at the Department of Computer Science at the University of Essex. \"A very fine overview over the relevant problems to be solved in the attempt to bring intelligence to a moving vehicle.\" Professor Dr. Ewald von Puttkamer, University of Kaiserslautern \"Case studies show ways of achieving an impressive repertoire of kinds of learned behaviour, navigation and map-building. The book is an admirable introduction to this modern approach to mobile robotics and certainly gives a great deal of food for thought. This is an important and though-provoking book.\" Alex M. 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Yet, the question about which mechanisms control the strength and damage resistance of materials and how they can be optimised remains largely unanswered. How do real, heterogeneous ma- rials deform and fail? Why can a small modification of the microstructure increase the strength and damage resistance of materials manifold? How can the strength of heterogeneous materials be predicted? The purpose of this book is to present different experimental and computational analysis methods of micromechanics of damage and strength of materials and to demonstrate their applications to various micromechanical problems. This book summarizes at a glance some of the publications of the Computational Mechanics Group at the IMWF\/MPA Stuttgart, dealing with atomistic, micro- and meso- chanical modelling and experimental analysis of strength and damage of metallic materials. 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It comprises 14 chapters, including an introductory chapter re-visiting the fundamental question of what an EA is and other chapters addressing a range of real-world problems such as production process planning, inventory system and supply chain network optimisation, task-based jobs assignment, planning for CNC-based work piece construction, mechanical\/ship design tasks that involve runtime-intense simulations, data mining for the prediction of soil properties, automated tissue classification for MRI images, and database query optimisation, among others. These chapters demonstrate how different types of problems can be successfully solved using variants of EAs and how the solution approaches are constructed, in a way that can be understood and reproduced with little prior knowledge on optimisation.\u003c\/p\u003e","brand":"Mia Karts","offers":[{"title":"Default Title","offer_id":51321123864864,"sku":"NEW3642234232","price":123.32,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0980\/7426\/3840\/files\/71n0XAF_GnL.jpg?v=1773086091"},{"product_id":"artificial-intelligence-a-modern-approach-9332543518","title":"Artificial Intelligence: A Modern Approach","description":"\u003cp\u003e\u003cstrong\u003eArtificial Intelligence: A Modern Approach\u003c\/strong\u003e is a foundational textbook analyzing intelligent systems' architecture and machine learning fundamentals. 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The authors of the bestselling Prediction Machines can help you prepare.Artificial intelligence (AI) has impacted many industries around the world-banking and finance, pharmaceuticals, automotive, medical technology, manufacturing, and retail. But it has only just begun its odyssey toward cheaper, better, and faster predictions that drive strategic business decisions. When prediction is taken to the max, industries transform, and with such transformation comes disruption.What is at the root of this? In their bestselling first book, Prediction Machines, eminent economists Ajay Agrawal, Joshua Gans, and Avi Goldfarb explained the simple yet game-changing economics of AI. Now, in Power and Prediction, they go deeper, examining the most basic unit of analysis: the decision. The authors explain that the two key decision-making ingredients are prediction and judgment, and we perform both together in our minds, often without realizing it. The rise of AI is shifting prediction from humans to machines, relieving people from this cognitive load while increasing the speed and accuracy of decisions.This sets the stage for a flourishing of new decisions and has profound implications for system-level innovation. Redesigning systems of interdependent decisions takes time-many industries are in the quiet before the storm-but when these new systems emerge, they can be disruptive on a global scale. Decision-making confers power. In industry, power confers profits; in society, power confers control. This process will have winners and losers, and the authors show how businesses can leverage opportunities, as well as protect their positions.Filled with illuminating insights, rich examples, and practical advice, Power and Prediction is the must-read guide for any business leader or policymaker on how to make the coming AI disruptions work for you rather than against you.\u003c\/p\u003e","brand":"Mia Karts","offers":[{"title":"Default Title","offer_id":51322893631776,"sku":"NEW1647824192","price":23.12,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0980\/7426\/3840\/files\/61M90_8nF_L.jpg?v=1773109490"},{"product_id":"all-in-on-ai-how-smart-companies-win-big-with-artificial-intelligence-1647824699","title":"All-in On AI: How Smart Companies Win Big with Artificial Intelligence","description":"\u003cp\u003e\u003cstrong\u003eISBN:\u003c\/strong\u003e 1647824699\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eAuthor:\u003c\/strong\u003e Davenport, Thomas H.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eCondition:\u003c\/strong\u003e New\u003c\/p\u003e\u003cp\u003eA Wall Street Journal bestsellerA Publisher's Weekly bestsellerA fascinating look at the trailblazing companies using artificial intelligence to create new competitive advantage, from the author of the business classic, Competing on Analytics, and the head of Deloitte's US AI practice.Though most organizations are placing modest bets on artificial intelligence, there is a world-class group of companies that are going all-in on the technology and radically transforming their products, processes, strategies, customer relationships, and cultures.Though these organizations represent less than 1 percent of large companies, they are all high performers in their industries. 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Fans of Chris Ferrie's Pythagorean Theorem for Babies, Organic Chemistry for Babies, and 8 Little Planets will love this introduction to artificial intelligence for babies and toddlers!From the #1 science author for kids comes this next installment in the bestselling Baby University series!Artificial Intelligence for Babies introduces babies (and grownups!) to the basic way artificial intelligence works, explained in an easy-to-understand and fun way!Written by an expert, this is the perfect book for enlightening the next generation of geniuses. 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