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Quantum Machine Learning, Ashish Mani, Elizabeth Behrman, Indrajit Pan, Siddhartha Bhattacharyya, Sourav De, Susanta Chakraborti


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Автор: Ashish Mani, Elizabeth Behrman, Indrajit Pan, Siddhartha Bhattacharyya, Sourav De, Susanta Chakraborti
Название:  Quantum Machine Learning
ISBN: 9783110670721
Издательство: Walter de Gruyter
Классификация: ISBN-10: 3110670720
Обложка/Формат: Ebook
Страницы: 131
Вес: 0.00 кг.
Дата издания: 08.06.2020
Серия: Computing & IT
Язык: English
Читательская аудитория: Professional and scholarly
Ключевые слова: Algorithms & data structures,Artificial intelligence,Computer networking & communications,Quantum physics (quantum mechanics & quantum field theory), COMPUTERS / Computer Vision & Pattern Recognition,COMPUTERS / Information Technology,COMPUTERS / Intellig
Рейтинг:
Поставляется из: Германии
Описание:

Quantum-enhanced machine learning refers to quantum algorithms that solve tasks in machine learning, thereby improving a classical machine learning method. Such algorithms typically require one to encode the given classical dataset into a quantum computer, so as to make it accessible for quantum information processing. After this, quantum information processing routines can be applied and the result of the quantum computation is read out by measuring the quantum system.

While many proposals of quantum machine learning algorithms are still purely theoretical and require a full-scale universal quantum computer to be tested, others have been implemented on small-scale or special purpose quantum devices.



Pattern Recognition and Machine Learning

Автор: Christopher M. Bishop
Название: Pattern Recognition and Machine Learning
ISBN: 0387310738 ISBN-13(EAN): 9780387310732
Издательство: Springer
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Цена: 79190.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.

The big short: inside the doomsday machine

Автор: Lewis Michael
Название: The big short: inside the doomsday machine
ISBN: 0393338827 ISBN-13(EAN): 9780393338829
Издательство: Wiley
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Цена: 10270.00 T
Наличие на складе: Есть
Описание: The real story of the crash began in bizarre feeder markets where the sun doesn't shine and the SEC doesn't dare, or bother, to tread: the bond and real estate derivative markets where geeks invent impenetrable securities to profit from the misery of lower- and middle-class Americans who can't pay their debts. The smart people who understood what was or might be happening were paralyzed by hope and fear; in any case, they weren't talking.Michael Lewis creates a fresh, character-driven narrative brimming with indignation and dark humor, a fitting sequel to his #1 bestseller Liar's Poker. Out of a handful of unlikely-really unlikely-heroes, Lewis fashions a story as compelling and unusual as any of his earlier bestsellers, proving yet again that he is the finest and funniest chronicler of our time.

Dreams Come to Life (Bendy and the Ink Machine, Book 1)

Автор: Kress Adrienne
Название: Dreams Come to Life (Bendy and the Ink Machine, Book 1)
ISBN: 1338343947 ISBN-13(EAN): 9781338343946
Издательство: Scholastic
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Цена: 10180.00 T
Наличие на складе: Нет в наличии.
Описание: The official spine-tingling prequel novel based on the hit horrorvideo game, Bendy and the Ink Machine!

Secrets of tenet: inside christopher nolan`s quantum cold war

Автор: Mottram, James
Название: Secrets of tenet: inside christopher nolan`s quantum cold war
ISBN: 1789095883 ISBN-13(EAN): 9781789095883
Издательство: Titan books ltd.
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Цена: 41350.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Discover the secrets of Christopher Nolan`s Tenet with this exclusive behind-the-scenes look at 2020`s most anticipated film.

Joey Drew Studios Employee Handbook (Bendy and the Ink Machine)

Автор: Scholastic
Название: Joey Drew Studios Employee Handbook (Bendy and the Ink Machine)
ISBN: 1338343920 ISBN-13(EAN): 9781338343922
Издательство: Scholastic
Рейтинг:
Цена: 11750.00 T
Наличие на складе: Нет в наличии.
Описание: Bendy and the Ink Machine is a horror game that begins in the fardays of animation`s past and ends in a very dark future. Explorethe world with this creepy in-world handbook!

Machine Learning

Автор: Kevin Murphy
Название: Machine Learning
ISBN: 0262018020 ISBN-13(EAN): 9780262018029
Издательство: MIT Press
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Цена: 124150.00 T
Наличие на складе: Невозможна поставка.
Описание:

A comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach.

Today's Web-enabled deluge of electronic data calls for automated methods of data analysis. Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach.

The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and deep learning. The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. All topics are copiously illustrated with color images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics. Rather than providing a cookbook of different heuristic methods, the book stresses a principled model-based approach, often using the language of graphical models to specify models in a concise and intuitive way. Almost all the models described have been implemented in a MATLAB software package -- PMTK (probabilistic modeling toolkit) -- that is freely available online. The book is suitable for upper-level undergraduates with an introductory-level college math background and beginning graduate students.


Introduction to Machine Learning with Python

Автор: Guido Sarah
Название: Introduction to Machine Learning with Python
ISBN: 1449369413 ISBN-13(EAN): 9781449369415
Издательство: Wiley
Рейтинг:
Цена: 63350.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions.

Computer Age Statistical Inference

Автор: Bradley Efron and Trevor Hastie
Название: Computer Age Statistical Inference
ISBN: 1107149894 ISBN-13(EAN): 9781107149892
Издательство: Cambridge Academ
Рейтинг:
Цена: 60190.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data science', and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? This book takes us on an exhilarating journey through the revolution in data analysis following the introduction of electronic computation in the 1950s. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian - individual chapters take up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov chain Monte Carlo, inference after model selection, and dozens more. The distinctly modern approach integrates methodology and algorithms with statistical inference. The book ends with speculation on the future direction of statistics and data science.

Quantum Machine Learning

Автор: Siddhartha Bhattacharyya, Indrajit Pan, Ashish Mani, Sourav De, Elizabeth Behrman, Susanta Chakraborti
Название: Quantum Machine Learning
ISBN: 311067064X ISBN-13(EAN): 9783110670646
Издательство: Walter de Gruyter
Цена: 136310.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Quantum-enhanced machine learning refers to quantum algorithms that solve tasks in machine learning, thereby improving a classical machine learning method. Such algorithms typically require one to encode the given classical dataset into a quantum computer, so as to make it accessible for quantum information processing. After this, quantum information processing routines can be applied and the result of the quantum computation is read out by measuring the quantum system. For example, the outcome of the measurement of a qubit could reveal the result of a binary classification task. While many proposals of quantum machine learning algorithms are still purely theoretical and require a full-scale universal quantum computer to be tested, others have been implemented on small-scale or special purpose quantum devices. The salient features of the book include: In depth analysis of the subject matter with mathematical discourse Video demonstration of each chapter for enabling the readers to have a good understanding of the chapter contents. Examples on real life applications. Illustrative diagrams Coding examples

The theory of quantum information

Автор: Watrous, John (university Of Waterloo, Ontario)
Название: The theory of quantum information
ISBN: 1107180562 ISBN-13(EAN): 9781107180567
Издательство: Cambridge Academ
Рейтинг:
Цена: 77090.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Intended for graduate students and researchers, this book presents a formal development of the mathematical theory of quantum information. Largely self-contained, with clear proofs and a wide range of exercises, it will help the reader grasp the fundamental facts and techniques that form the mathematical foundations of the subject.

Principles of Quantum Artificial Intelligence (Second Edition): Quantum Problem Solving and Machine Learning

Автор: Wichert Andreas Miroslaus
Название: Principles of Quantum Artificial Intelligence (Second Edition): Quantum Problem Solving and Machine Learning
ISBN: 9811224307 ISBN-13(EAN): 9789811224300
Издательство: World Scientific Publishing
Рейтинг:
Цена: 163680.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

This unique compendium presents an introduction to problem solving, information theory, statistical machine learning, stochastic methods and quantum computation. It indicates how to apply quantum computation to problem solving, machine learning and quantum-like models to decision making -- the core disciplines of artificial intelligence.

Most of the chapters were rewritten and extensive new materials were updated. New topics include quantum machine learning, quantum-like Bayesian networks and mind in Everett many-worlds


Quantum Machine Learning: What Quantum Computing Means to Data Mining

Автор: Wittek Peter
Название: Quantum Machine Learning: What Quantum Computing Means to Data Mining
ISBN: 0128100400 ISBN-13(EAN): 9780128100400
Издательство: Elsevier Science
Рейтинг:
Цена: 78590.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Quantum Machine Learning bridges the gap between abstract developments in quantum computing and the applied research on machine learning. Paring down the complexity of the disciplines involved, it focuses on providing a synthesis that explains the most important machine learning algorithms in a quantum framework. Theoretical advances in quantum computing are hard to follow for computer scientists, and sometimes even for researchers involved in the field. The lack of a step-by-step guide hampers the broader understanding of this emergent interdisciplinary body of research. . Quantum Machine Learning sets the scene for a deeper understanding of the subject for readers of different backgrounds. The author has carefully constructed a clear comparison of classical learning algorithms and their quantum counterparts, thus making differences in computational complexity and learning performance apparent. This book synthesizes of a broad array of research into a manageable and concise presentation, with practical examples and applications.


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