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Añadir al carritoHardcover. Condición: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
Librería: Zubal-Books, Since 1961, Cleveland, OH, Estados Unidos de America
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Añadir al carritoCondición: Fine. *Price HAS BEEN REDUCED by 10% until Monday, Sept. 29 (sale item)* 764 pp., hardcover, fine. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.
Librería: California Books, Miami, FL, Estados Unidos de America
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Librería: Greener Books, London, Reino Unido
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Añadir al carritoPaperback. Condición: Used; Very Good. **SHIPPED FROM UK** We believe you will be completely satisfied with our quick and reliable service. All orders are dispatched as swiftly as possible! Buy with confidence! Greener Books.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
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Librería: BookDepart, Shepherdstown, WV, Estados Unidos de America
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Añadir al carritoHardcover. Condición: UsedVery Good. Hardcover, a selected reprint volume; light fading, light shelf wear to exterior; otherwise contents in very good condition with clean text, firm binding.
Librería: Antiquariat Bernhardt, Kassel, Alemania
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Añadir al carritogebundene Ausgabe. Condición: Sehr gut. Zust: Gutes Exemplar. XI, 724 Seiten, Englisch 2030g.
Publicado por IEEE Operations Center, 1994
ISBN 10: 0780304438 ISBN 13: 9780780304437
Idioma: Inglés
Librería: Majestic Books, Hounslow, Reino Unido
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Publicado por IEEE Operations Center, 1994
ISBN 10: 0780304438 ISBN 13: 9780780304437
Idioma: Inglés
Librería: Books Puddle, New York, NY, Estados Unidos de America
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Añadir al carritoCondición: very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.
Publicado por IEEE Operations Center, 1994
ISBN 10: 0780304438 ISBN 13: 9780780304437
Idioma: Inglés
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 51,22
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Librería: Romtrade Corp., STERLING HEIGHTS, MI, Estados Unidos de America
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Librería: ALLBOOKS1, Direk, SA, Australia
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Añadir al carritoBrand new book. Fast ship. Please provide full street address as we are not able to ship to P O box address.
Librería: BennettBooksLtd, San Diego, NV, Estados Unidos de America
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Añadir al carritohardcover. Condición: New. In shrink wrap. Looks like an interesting title!
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Añadir al carritoCondición: Gut. Zustand: Gut | Sprache: Englisch | Produktart: Bücher.
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
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Añadir al carritoPaperback / softback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 218.
Librería: Majestic Books, Hounslow, Reino Unido
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Librería: Majestic Books, Hounslow, Reino Unido
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Librería: Biblios, Frankfurt am main, HESSE, Alemania
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Librería: Biblios, Frankfurt am main, HESSE, Alemania
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Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
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Añadir al carritoHardback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 381.
Librería: AHA-BUCH GmbH, Einbeck, Alemania
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Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Are you ready to unlock the mathematical secrets that power today's most advanced artificial intelligence systems 'Essential Math for AI' is an essential guide for anyone looking to understand the complex mathematical underpinnings of AI. Whether you're an AI enthusiast, a student, or a professional in the field, this book is tailored to enrich your knowledge and prepare you for the future of AI innovation.Here's what you'll discover inside:Linear Algebra: Dive into the core of machine learning with in-depth explorations of vectors, matrices, and data transformations.Probability and Statistics: Learn how to make sense of data and uncertainty, which is crucial for developing robust AI applications.Calculus: Optimize AI models using the power of derivatives, integrals, and multivariable optimization.Graph Theory: Model complex relationships and understand the algorithms that can navigate these structures in AI.Discrete Mathematics: Tackle combinatorial problems and optimize algorithmic efficiency, a cornerstone of AI development.Numerical Methods: Solve equations and approximate functions, enhancing the computational power of AI.Optimization Techniques: From gradient descent to swarm intelligence, master the methods that enhance AI performance.Game Theory: Analyze strategic decision-making and its profound implications in AI.Information Theory: Quantify and encode data, ensuring efficiency and integrity in AI systems.Topology and Geometry: Uncover hidden structures in data, paving the way for breakthroughs in AI research.'Essential Math for AI' provides a comprehensive overview of the mathematical concepts propelling AI forward and offers a glimpse into the future of how these disciplines will continue to shape the AI landscape. With chapter summaries to consolidate your learning and a clear path charted for future exploration, this book is your roadmap to becoming well-versed in the mathematics of AI.Take the next step in your AI journey. Embrace the mathematical challenges and opportunities with 'Essential Math for AI.'¿.
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 34,41
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Añadir al carritoBuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Are you ready to unlock the mathematical secrets that power today's most advanced artificial intelligence systems 'Essential Math for AI' is an essential guide for anyone looking to understand the complex mathematical underpinnings of AI. Whether you're an AI enthusiast, a student, or a professional in the field, this book is tailored to enrich your knowledge and prepare you for the future of AI innovation.Here's what you'll discover inside:Linear Algebra: Dive into the core of machine learning with in-depth explorations of vectors, matrices, and data transformations.Probability and Statistics: Learn how to make sense of data and uncertainty, which is crucial for developing robust AI applications.Calculus: Optimize AI models using the power of derivatives, integrals, and multivariable optimization.Graph Theory: Model complex relationships and understand the algorithms that can navigate these structures in AI.Discrete Mathematics: Tackle combinatorial problems and optimize algorithmic efficiency, a cornerstone of AI development.Numerical Methods: Solve equations and approximate functions, enhancing the computational power of AI.Optimization Techniques: From gradient descent to swarm intelligence, master the methods that enhance AI performance.Game Theory: Analyze strategic decision-making and its profound implications in AI.Information Theory: Quantify and encode data, ensuring efficiency and integrity in AI systems.Topology and Geometry: Uncover hidden structures in data, paving the way for breakthroughs in AI research.'Essential Math for AI' provides a comprehensive overview of the mathematical concepts propelling AI forward and offers a glimpse into the future of how these disciplines will continue to shape the AI landscape. With chapter summaries to consolidate your learning and a clear path charted for future exploration, this book is your roadmap to becoming well-versed in the mathematics of AI.Take the next step in your AI journey. Embrace the mathematical challenges and opportunities with 'Essential Math for AI.'¿.
Publicado por LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3838334698 ISBN 13: 9783838334691
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 49,00
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Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - With new processor families appearing every few years, it is increasingly harder to achieve high performance rates in sparse matrix computations. This monograph studies new methods for sparse matrix factorizations and applies them efficiently while retaining ease of use of existing solutions. The implementations are timed and analyzed using a commonly accepted set of test matrices. Contemporary processors are used for the tests. The new factorization techniques are proven to be quite competitive with state of the art software. In addition, an optimization effort is applied to an iterative algorithm that stands out for its numerical robustness. This also gives satisfactory results on the tested computing platforms in terms of performance improvement. The same set of test matrices is used to enable an easy comparison between both investigated techniques, even though they are customarily treated separately in the literature. Possible extensions of the presented work range from easily conceivable merging with existing solutions to rather more evolved schemes dependent on hard to predict progress in theoretical and algorithmic research.