Idioma: Inglés
Publicado por Princeton University Press, 1997
ISBN 10: 0691016453 ISBN 13: 9780691016450
Librería: ThriftBooks-Atlanta, AUSTELL, GA, Estados Unidos de America
EUR 7,18
Cantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
Idioma: Inglés
Publicado por Princeton University Press, 1997
ISBN 10: 0691016453 ISBN 13: 9780691016450
Librería: ThriftBooks-Atlanta, AUSTELL, GA, Estados Unidos de America
EUR 7,18
Cantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.
EUR 12,57
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: New.
EUR 17,90
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: New. 2nd Edition.
Librería: World of Books (was SecondSale), Montgomery, IL, Estados Unidos de America
EUR 21,93
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.
Idioma: Inglés
Publicado por Cambridge University Press, 2014
ISBN 10: 1107652529 ISBN 13: 9781107652521
Librería: Books From California, Simi Valley, CA, Estados Unidos de America
EUR 17,83
Cantidad disponible: 1 disponibles
Añadir al carritopaperback. Condición: Very Good.
Idioma: Inglés
Publicado por Holt, Rinehart and Winston, New York, 1972
ISBN 10: 0030816211 ISBN 13: 9780030816215
Librería: Second Story Books, ABAA, Rockville, MD, Estados Unidos de America
EUR 16,62
Cantidad disponible: 1 disponibles
Añadir al carritoHardcover. Octavo, XIII, 427 pages. In Good minus condition. Spine is brown with white print. Boards in brown and white cloth with brown and white print. Wear to spine caps and corners, ink smudge on front, mild shelf wear. Text block has name in ink on title page. 1371029. FP New Rockville Stock.
Librería: Zubal-Books, Since 1961, Cleveland, OH, Estados Unidos de America
EUR 19,81
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: Fine. First edition, first printing, 203 pp., Hardcover, fine in a worn dust jacket. - 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: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
EUR 24,20
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: new. Paperback. The evolution of Artificial Intelligence in the 21st century has moved far beyond heuristic techniques and surface-level statistical approximations. Modern AI-whether it is Deep Learning, Reinforcement Learning, Bayesian Modeling, Diffusion Models, or Large Language Models-depends on deep mathematical principles rooted in measure theory and probability theory. Without understanding the foundational mathematics, practitioners often treat AI models as black boxes, missing the underlying structure that governs learning, generalization, uncertainty, and convergence.This book, Measure Theory and Probability for Artificial Intelligence, written by Anshuman Mishra, is designed to fill this crucial gap. It presents an authoritative, rigorous, yet deeply intuitive exploration of the mathematical foundations that support every modern AI system. This is not just a textbook. It is a complete journey into the mathematical soul of machine intelligence-crafted for ambitious students, dedicated researchers, and serious AI professionals who want to elevate their understanding to the highest level.Where most machine learning books begin directly with algorithms, this book starts from first principles-from sets, sigma-algebras, measurable functions, measures, integrals, probability spaces, convergence modes, inequalities, stochastic processes, and advanced probabilistic tools-then meticulously climbs up to how each of these mathematical structures is used in neural networks, reinforcement learning, generative models, stochastic gradient descent, Bayesian inference, and optimal transport.This makes the book unparalleled in scope and depth. Whether you are an AI engineer trying to understand "why" deep learning works, a PhD researcher developing new models, or a student preparing for advanced coursework, this book offers you the mathematical clarity and conceptual strength required to advance confidently into the technical frontier of artificial intelligence. Why This Book?1. AI is No Longer Only Engineering-It is Mathematical ScienceMachine learning and deep learning operate in high-dimensional spaces, mapping complex random variables through nonlinear transformations. Reinforcement learning optimizes over stochastic returns. Diffusion models rely on stochastic differential equations. Generative models measure the divergence between probability distributions. Neural networks approximate integrals, gradients, and transformations of measures. All of this requires a deep understanding of: Measure theoryProbability theoryInformation theoryStochastic processesMartingale convergenceOptimal transportHigh-dimensional concentrationWithout these tools, AI becomes guesswork.2. Artificial Intelligence Requires RigorThis book is intentionally designed to build mathematical intuition and formal rigor. Every concept is introduced from first principles, but always connected to real AI applications. This dual approach makes the book ideal for: Undergraduate and postgraduate studentsPhD scholarsMachine learning engineersReinforcement learning researchersData scientistsAI hobbyists with a strong mathematical interestFaculty members designing academic courses3. Written in an Accessible, Progressive StyleThe book does not assume a background in measure theory. Instead, it builds the theory step-by-step, starting from sets and functions, gradually rising through: s-algebrasMeasuresIntegrationConvergenceProbability triplesRandom variablesDistribution transformationsExpectation and conditional expecta Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
EUR 22,41
Cantidad disponible: 1 disponibles
Añadir al carritopaperback. Condición: Good. Paperback. Cover and spine in good condition and there is a note inside front cover in pencil. . Spine is tight. Pages are clean, no markings, notes or stains. There is a penned note on back cover. Ships from Friends bookstore to benefit Beaverton (Oregon) library.
Idioma: Inglés
Publicado por World Scientific Publishing, 2023
Librería: Books in my Basket, New Delhi, India
EUR 18,19
Cantidad disponible: 2 disponibles
Añadir al carritoSoft cover. Condición: New. ISBN:9781944660802,292pp.
Publicado por Wadsworth,, 1986
Librería: Plum Books, St. Paul, MN, Estados Unidos de America
EUR 28,37
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: Good. Estado de la sobrecubierta: Good. Good hardcover has some highlighting and underlining,tight binding,dust jacket has chips and tears. INV#H-19.
Idioma: Inglés
Publicado por Cambridge University Press, 2003
ISBN 10: 0521825857 ISBN 13: 9780521825856
Librería: Anybook.com, Lincoln, Reino Unido
EUR 32,18
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: Fair. Volume 13. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In fair condition, suitable as a study copy. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,700grams, ISBN:9780521825856.
Idioma: Inglés
Publicado por Birkhäuser (edition 1996), 1996
ISBN 10: 0817638849 ISBN 13: 9780817638849
Librería: BooksRun, Philadelphia, PA, Estados Unidos de America
EUR 48,44
Cantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: Fair. 1996. The item might be beaten up but readable. May contain markings or highlighting, as well as stains, bent corners, or any other major defect, but the text is not obscured in any way.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 48,47
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por World Scientific Publishing Company 4/21/2022, 2022
ISBN 10: 9819814375 ISBN 13: 9789819814374
Librería: BargainBookStores, Grand Rapids, MI, Estados Unidos de America
EUR 50,82
Cantidad disponible: 5 disponibles
Añadir al carritoPaperback or Softback. Condición: New. Introduction to Probability Theory: A First Course on the Measure-Theoretic Approach. Book.
Librería: Marlton Books, Bridgeton, NJ, Estados Unidos de America
EUR 48,23
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: Acceptable. Readable, but has significant damage / tears. Has a remainder mark. hardcover Used - Acceptable.
Librería: Textbooks_Source, Columbia, MO, Estados Unidos de America
EUR 47,40
Cantidad disponible: 1 disponibles
Añadir al carritohardcover. Condición: Good. 1996th Edition. Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 48,95
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: New. pp. 528.
Librería: California Books, Miami, FL, Estados Unidos de America
EUR 53,19
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por World Scientific Publishing Co Pte Ltd, SG, 2022
ISBN 10: 9819814375 ISBN 13: 9789819814374
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
EUR 54,07
Cantidad disponible: 7 disponibles
Añadir al carritoPaperback. Condición: New. This book provides a first introduction to the methods of probability theory by using the modern and rigorous techniques of measure theory and functional analysis. It is geared for undergraduate students, mainly in mathematics and physics majors, but also for students from other subject areas such as economics, finance and engineering. It is an invaluable source, either for a parallel use to a related lecture or for its own purpose of learning it.The first part of the book gives a basic introduction to probability theory. It explains the notions of random events and random variables, probability measures, expectation values, distributions, characteristic functions, independence of random variables, as well as different types of convergence and limit theorems. The first part contains two chapters. The first chapter presents combinatorial aspects of probability theory, and the second chapter delves into the actual introduction to probability theory, which contains the modern probability language. The second part is devoted to some more sophisticated methods such as conditional expectations, martingales and Markov chains. These notions will be fairly accessible after reading the first part.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 46,69
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: New. pp. 528.
Idioma: Chino
Publicado por Peking University Press Pub. Date :2004-02-01, 1991
ISBN 10: 7301063458 ISBN 13: 9787301063453
Librería: ThriftBooks-Atlanta, AUSTELL, GA, Estados Unidos de America
EUR 32,54
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 54,43
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Idioma: Inglés
Publicado por Cambridge University Press, 2003
ISBN 10: 0521825857 ISBN 13: 9780521825856
Librería: PsychoBabel & Skoob Books, Didcot, Reino Unido
EUR 41,63
Cantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: Acceptable. Acceptable Hardcover. Title page and copyright page has been torn out and are missing. End of the spine is bumped. Used.
Idioma: Inglés
Publicado por World Scientific Publishing Company, 2022
ISBN 10: 9819814375 ISBN 13: 9789819814374
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de America
EUR 56,90
Cantidad disponible: 15 disponibles
Añadir al carritoPAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Idioma: Inglés
Publicado por Cambridge University Press, 2003
ISBN 10: 0521825857 ISBN 13: 9780521825856
Librería: Anybook.com, Lincoln, Reino Unido
EUR 41,02
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: Fair. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. Clean from markings. In fair condition, suitable as a study copy. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,700grams, ISBN:9780521825856.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 55,00
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: New. pp. 420.
Idioma: Inglés
Publicado por World Scientific Publishing Co Pte Ltd, SG, 2022
ISBN 10: 9819814375 ISBN 13: 9789819814374
Librería: Rarewaves USA, OSWEGO, IL, Estados Unidos de America
EUR 58,62
Cantidad disponible: Más de 20 disponibles
Añadir al carritoPaperback. Condición: New. This book provides a first introduction to the methods of probability theory by using the modern and rigorous techniques of measure theory and functional analysis. It is geared for undergraduate students, mainly in mathematics and physics majors, but also for students from other subject areas such as economics, finance and engineering. It is an invaluable source, either for a parallel use to a related lecture or for its own purpose of learning it.The first part of the book gives a basic introduction to probability theory. It explains the notions of random events and random variables, probability measures, expectation values, distributions, characteristic functions, independence of random variables, as well as different types of convergence and limit theorems. The first part contains two chapters. The first chapter presents combinatorial aspects of probability theory, and the second chapter delves into the actual introduction to probability theory, which contains the modern probability language. The second part is devoted to some more sophisticated methods such as conditional expectations, martingales and Markov chains. These notions will be fairly accessible after reading the first part.
EUR 51,15
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: New. pp. 420.