+7(495) 980-12-10
  10:00-18:00 пн-сб
  shop@logobook.ru
   
    Поиск книг                    Поиск по списку ISBN Расширенный поиск    
Найти
  Зарубежные издательства Российские издательства  
  Авторы | Каталог книг | Издательства | Новинки | Учебная литература | Специальные предложения | Бестселлеры
 
 
Книги
Книги зарубежных издательств на иностранных языках

Книги российских издательств

Представительство в Казахстане
 
Вход в систему
 
Войти
Регистрация  Забыли?
 
Информация
Контакты/Адрес/Проезд
Корзина
Ваши заказы
Доставка и Оплата
Заказ по телефону/email
Помощь
Есть вопрос?
О компании
Политика конфиденциальности
LgBook.ru
FkBook.ru
 
Online Каталоги
Каталог учебной литературы
по английскому языку >>>

Каталог учебной литературы
по английскому языку >>>


Читайте отзывы покупателей и оценивайте качество магазина на Яндекс.Маркете

Quantum Machine Learning: What Quantum Computing Means to Data Mining, Wittek Peter

Автор: Wittek Peter
Название:  Quantum Machine Learning: What Quantum Computing Means to Data Mining   (Питер Уиттек: Изучение квантовой механики. Что квантовые исчисления дают накопителям данных)
Издательство: Elsevier Science
Классификация:
ISBN: 0128100400
ISBN-13(EAN): 9780128100400
ISBN: 0-12-810040-0
ISBN-13(EAN): 978-0-12-810040-0
Обложка/Формат: Paperback
Страницы: 176
Вес: 0.268 кг.
Дата издания: 02.09.2016
Язык: ENG
Иллюстрации: Black & white illustrations
Размер: 22.86 x 15.24 x 0.97 cm
Читательская аудитория: General (us: trade)
Подзаголовок: What quantum computing means to data mining
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Англии

Добавить в Мои желания

 Варианты приобретения 
  Наличие на складе Кол-во / Цена р.
1 Поставка под заказ.  Есть в наличии на складе поставщика.
Склад Англия: 103шт.  Склад Америка: 106шт.  
При оформлении заказа до: 15 июн 2018
Ориентировочная дата поставки: Середина Июля
6332.00
Добавить в корзину


Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies

Автор: Kelleher John D., Macnamee Brian, D`Arcy Aoife
Название: Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies
ISBN: 0262029448 ISBN-13(EAN): 9780262029445
Издательство: Wiley
Рейтинг:
Цена: 6260 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

A comprehensive introduction to the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications.

Machine learning is often used to build predictive models by extracting patterns from large datasets. These models are used in predictive data analytics applications including price prediction, risk assessment, predicting customer behavior, and document classification. This introductory textbook offers a detailed and focused treatment of the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications. Technical and mathematical material is augmented with explanatory worked examples, and case studies illustrate the application of these models in the broader business context.

After discussing the trajectory from data to insight to decision, the book describes four approaches to machine learning: information-based learning, similarity-based learning, probability-based learning, and error-based learning. Each of these approaches is introduced by a nontechnical explanation of the underlying concept, followed by mathematical models and algorithms illustrated by detailed worked examples. Finally, the book considers techniques for evaluating prediction models and offers two case studies that describe specific data analytics projects through each phase of development, from formulating the business problem to implementation of the analytics solution. The book, informed by the authors' many years of teaching machine learning, and working on predictive data analytics projects, is suitable for use by undergraduates in computer science, engineering, mathematics, or statistics; by graduate students in disciplines with applications for predictive data analytics; and as a reference for professionals.

в Мои желания
Data Mining: Practical Machine Learning Tools and Techniques,

Автор: Ian H. Witten
Название: Data Mining: Practical Machine Learning Tools and Techniques,
ISBN: 0123748569 ISBN-13(EAN): 9780123748560
Издательство: Elsevier Science
Рейтинг:
Цена: 4748 р.
Наличие на складе: Поставка под заказ.

Описание: Like the popular second edition, Data Mining: Practical Machine Learning Tools and Techniques offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining situations. Inside, you'll learn all you need to know about preparing inputs, interpreting outputs, evaluating results, and the algorithmic methods at the heart of successful data mining?including both tried-and-true techniques of today as well as methods at the leading edge of contemporary research. <br><br>Complementing the book is a fully functional platform-independent open source Weka software for machine learning, available for free download. <br><br>The book is a major revision of the second edition that appeared in 2005. While the basic core remains the same, it has been updated to reflect the changes that have taken place over the last four or five years. The highlights for the updated new edition include completely revised technique sections; new chapter on Data Transformations, new chapter on Ensemble Learning, new chapter on Massive Data Sets, a new ?book release? version of the popular Weka machine learning open source software (developed by the authors and specific to the Third Edition); new material on ?multi-instance learning?; new information on ranking the classification, plus comprehensive updates and modernization throughout. All in all, approximately 100 pages of new material.<br> <br><br>* Thorough grounding in machine learning concepts as well as practical advice on applying the tools and techniques<br><br>* Algorithmic methods at the heart of successful data mining?including tired and true methods as well as leading edge methods<br><br>* Performance improvement techniques that work by transforming the input or output<br><br>* Downloadable Weka, a collection of machine learning algorithms for data mining tasks, including tools for data pre-processing, classification, regression, clustering, association rules, and visualization?in an updated, interactive interface. <br>

в Мои желания
A First Course in Machine Learning, Second Edition

Автор: Rogers
Название: A First Course in Machine Learning, Second Edition
ISBN: 1498738486 ISBN-13(EAN): 9781498738484
Издательство: Taylor&Francis
Рейтинг:
Цена: 7554 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The new edition of this popular, undergraduate textbook has been revised and updated to reflect current growth areas in Machine Learning. The new edition includes three new chapters with more detailed discussion of Markov Chain Monte Carlo techniques, Classification and Regression with Gaussian Processes, and Dirichlet Process models. Previous chapters have also been updated to reflect new developments in Machine Learning, and correct any previous errors in the text.

в Мои желания
Principles and Theory for Data Mining and Machine Learning

Автор: Clarke
Название: Principles and Theory for Data Mining and Machine Learning
ISBN: 0387981349 ISBN-13(EAN): 9780387981345
Издательство: Springer
Рейтинг:
Цена: 13639 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book provides a thorough introduction to the most important topics in data mining and machine learning. All the topics covered have undergone rapid development and this treatment offers a modern perspective emphasizing the most recent contributions.

в Мои желания
Machine Learning

Автор: Marsland
Название: Machine Learning
ISBN: 1466583282 ISBN-13(EAN): 9781466583283
Издательство: Taylor&Francis
Рейтинг:
Цена: 4955 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This bestseller helps students understand the algorithms of machine learning. It puts them on a path toward mastering the relevant mathematics and statistics as well as the necessary programming and experimentation. Along with improved Python code, this second edition includes two new chapters on deep belief networks and Gaussian processes. It incorporates new material on the support vector machine, random forests, the perceptron convergence theorem, filters, and more. All of the code is available on the author’s website.

в Мои желания
Cognitive Computing: Implementing Big Data Machine Learning Solutions

Автор: Hurwitz, Kaufman Marcia, Bowles Adrian
Название: Cognitive Computing: Implementing Big Data Machine Learning Solutions
ISBN: 1118896629 ISBN-13(EAN): 9781118896624
Издательство: Wiley
Рейтинг:
Цена: 3974 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: MASTER THE ABILITY TO APPLY BIG DATA ANALYTICS TO MASSIVE AMOUNTS OF STRUCTURED AND UNSTRUCTURED DATA Cognitive computing is a technique that allows humans and computers to collaborate in order to gain insights and knowledge from data by uncovering patterns and anomalies. This comprehensive guide explains the underlying technologies, such as artificial intelligence, machine learning, natural language processing, and big data analytics. It then demonstrates how you can use these technologies to transform your organization. You will explore how different vendors and different industries are applying this emerging technology to help customers gain insights and take actions from their data. You will study detailed case histories from the financial, healthcare, and manufacturing industries, with step–by–step examinations of the design and testing of cognitive systems. You will benefit from the expert perspectives of organizations such as Welltok, Cleveland Clinic, and Memorial Sloan–Kettering as well as commercial vendors such as IBM, Google, Amazon, Hitachi, Dell, Cisco, and Numenta that are creating solutions, and demonstrating real–world implementation of cognitive computing systems. This book will go into detail about IBM s Watson platform and how it has influenced the development of cognitive computing. Cognitive systems are ushering in a new era of computing. In this book, you will learn how these technologies can enable emerging firms to compete with entrenched giants and forward–thinking, established organizations to disrupt their industries. You will gain both the theoretical and practical guidance you need to apply this technology, including: How cognitive computing is evolving from promise to reality Foundational services that are part of a cognitive computing system The distinguishing features of a cognitive computing system and how they work How to determine the underlying advanced analytics that support the development of a cognitive system The role of cloud and distributed computing Techniques for building a cognitive application Ways to leverage cognitive computing capabilities to transform your organization

в Мои желания
Advances in Machine Learning and Data Mining for Astronomy

Автор: Way
Название: Advances in Machine Learning and Data Mining for Astronomy
ISBN: 143984173X ISBN-13(EAN): 9781439841730
Издательство: Taylor&Francis
Рейтинг:
Цена: 5983 р.
Наличие на складе: Поставка под заказ.

Описание: This practical guide illustrates the use of state-of-the-art machine learning and data mining techniques in astronomy. The book presents issues in the astronomical sciences that are also important to health, social, and physical sciences. It describes a number of astrophysics case studies that leverage a range of machine learning and data mining technologies. In addition, developers of algorithms and practitioners of machine learning and data mining show how these tools and techniques are used in astronomical applications.

в Мои желания
Machine Learning and Data Mining in Pattern Recognition

Автор: Perner
Название: Machine Learning and Data Mining in Pattern Recognition
ISBN: 3642315364 ISBN-13(EAN): 9783642315367
Издательство: Springer
Рейтинг:
Цена: 6952 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different multimedia data types such as image mining, text mining, video mining and web mining.

в Мои желания
Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics

Автор: Giacobini
Название: Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics
ISBN: 3642290655 ISBN-13(EAN): 9783642290657
Издательство: Springer
Рейтинг:
Цена: 4399 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book constitutes the refereed proceedings of the 10th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2012, held in M?laga, Spain, in April 2012 co-located with the Evo* 2012 events. The 15 revised full papers presented together with 8 poster papers were carefully reviewed and selected from numerous submissions. Computational Biology is a wide and varied discipline, incorporating aspects of statistical analysis, data structure and algorithm design, machine learning, and mathematical modeling toward the processing and improved understanding of biological data. Experimentalists now routinely generate new information on such a massive scale that the techniques of computer science are needed to establish any meaningful result. As a consequence, biologists now face the challenges of algorithmic complexity and tractability, and combinatorial explosion when conducting even basic analyses.

в Мои желания
Machine Learning Forensics for Law Enforcement, Security, and Intelligence

Автор: Mena
Название: Machine Learning Forensics for Law Enforcement, Security, and Intelligence
ISBN: 1439860696 ISBN-13(EAN): 9781439860694
Издательство: Taylor&Francis
Рейтинг:
Цена: 8163 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Increasingly, crimes and fraud are digital in nature, occurring at breakneck speed and encompassing large volumes of data. To combat this unlawful activity, knowledge about the use of machine learning technology and software is critical. This volume integrates an assortment of deductive and instructive tools, techniques, and technologies to arm professionals with the tools they need to be prepared and stay ahead of the game. It is a practical guide on how to conduct forensic investigations using self-organizing clustering map (SOM) neural networks, text extraction, and rule generating software to "interrogate the evidence."

в Мои желания
Introduction to Machine Learning and Bioinformatics

Автор: Mitra
Название: Introduction to Machine Learning and Bioinformatics
ISBN: 158488682X ISBN-13(EAN): 9781584886822
Издательство: Taylor&Francis
Рейтинг:
Цена: 5983 р.
Наличие на складе: Поставка под заказ.

Описание: Examining the connections between these two increasingly intertwined areas, this text presents a unifying, thorough, and accessible introduction to the basic ideas and latest developments in machine learning and bioinformatics. It describes the major problems in bioinformatics and the concepts and algorithms of machine learning. The authors demonstrate the capabilities of key machine learning techniques, such as hidden Markov models and artificial neural networks, and apply state-of-the-art techniques to bioinformatics problems in structural biology, cancer treatment, and proteomics. They also include exercises at the end of some chapters and offer instructional materials on their website.

в Мои желания
Getting Started with Business Analytics

Автор: Hardoon
Название: Getting Started with Business Analytics
ISBN: 1439896534 ISBN-13(EAN): 9781439896532
Издательство: Taylor&Francis
Рейтинг:
Цена: 3926 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Helping you make sound decisions based on hard data, this self-contained guide provides an integrated framework of data mining in business analytics. It explores the contents, capabilities, and applications of business analytics without assuming any prior knowledge or technical skills. The authors describe business analytics from a non-commercial standpoint, demystify the main concepts and terminologies, and give many examples of real-world applications. They take you on a journey through this data-rich world, showing you how to deploy business analytics solutions in your organization.

в Мои желания

ООО "Логосфера " Тел:+7(495) 980-12-10 www.logobook.ru
   В Контакте  Мобильная версия