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Data Science Foundations, 


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Цена: 91860.00T
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Название:  Data Science Foundations
ISBN: 9781498763936
Издательство: Taylor&Francis
Классификация:



ISBN-10: 1498763936
Обложка/Формат: Hardback
Страницы: 224
Вес: 0.57 кг.
Дата издания: 07.09.2017
Серия: Chapman & hall/crc computer science & data analysis
Язык: English
Иллюстрации: 20 tables, black and white; 49 line drawings, black and white; 6 halftones, black and white; 55 illustrations, black and white
Размер: 185 x 261 x 16
Подзаголовок: Geometry and topology of complex hierarchic systems and big data analytics
Ссылка на Издательство: Link
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Поставляется из: Европейский союз

The Elements of Statistical Learning

Автор: Trevor Hastie; Robert Tibshirani; Jerome Friedman
Название: The Elements of Statistical Learning
ISBN: 0387848576 ISBN-13(EAN): 9780387848570
Издательство: Springer
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Цена: 69870.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This major new edition features many topics not covered in the original, including graphical models, random forests, and ensemble methods. As before, it covers the conceptual framework for statistical data in our rapidly expanding computerized world.

Prime Numbers and the Riemann Hypothesis

Автор: Mazur
Название: Prime Numbers and the Riemann Hypothesis
ISBN: 1107499437 ISBN-13(EAN): 9781107499430
Издательство: Cambridge Academ
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Цена: 25350.00 T
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Описание: This book introduces prime numbers and explains the celebrated, unsolved Riemann hypothesis in a direct manner. Suitable for both scholars and those with a minimal mathematical background.

Credit-Risk Modelling/Книга: Дэвид Джеймисон Болдер  Моделирование кредитного риска

Автор: David Jamieson Bolder
Название: Credit-Risk Modelling/Книга: Дэвид Джеймисон Болдер Моделирование кредитного риска
ISBN: 3030069001 ISBN-13(EAN): 9783030069001
Издательство: Springer
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Цена: 55050.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The risk of counterparty default in banking, insurance, institutional, and pension-fund portfolios is an area of ongoing and increasing importance for finance practitioners. It is, unfortunately, a topic with a high degree of technical complexity. Addressing this challenge, this book provides a comprehensive and attainable mathematical and statistical discussion of a broad range of existing default-risk models. Model description and derivation, however, is only part of the story. Through use of exhaustive practical examples and extensive code illustrations in the Python programming language, this work also explicitly shows the reader how these models are implemented. Bringing these complex approaches to life by combining the technical details with actual real-life Python code reduces the burden of model complexity and enhances accessibility to this decidedly specialized field of study. The entire work is also liberally supplemented with model-diagnostic, calibration, and parameter-estimation techniques to assist the quantitative analyst in day-to-day implementation as well as in mitigating model risk. Written by an active and experienced practitioner, it is an invaluable learning resource and reference text for financial-risk practitioners and an excellent source for advanced undergraduate and graduate students seeking to acquire knowledge of the key elements of this discipline.

Storing and Transmitting Data

Автор: Rudolf Ahlswede; Alexander Ahlswede; Ingo Alth?fer
Название: Storing and Transmitting Data
ISBN: 3319352385 ISBN-13(EAN): 9783319352381
Издательство: Springer
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Цена: 55890.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Presenting an introduction to Shannon Theory, this is the first of several volumes that collect Rudolf Ahlswede`s lectures on information theory. It features uncensored, insider views from the world of science and research.

Storing and Transmitting Data

Автор: Rudolf Ahlswede; Alexander Ahlswede; Ingo Alth?fer
Название: Storing and Transmitting Data
ISBN: 3319054783 ISBN-13(EAN): 9783319054780
Издательство: Springer
Рейтинг:
Цена: 69870.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Presenting an introduction to Shannon Theory, this is the first of several volumes that collect Rudolf Ahlswede`s lectures on information theory. It features uncensored, insider views from the world of science and research.

Foundations of Statistical Algorithms

Автор: Weihs, Claus , Mersmann, Olaf , Ligges, Uwe
Название: Foundations of Statistical Algorithms
ISBN: 0367379090 ISBN-13(EAN): 9780367379094
Издательство: Taylor&Francis
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Цена: 65320.00 T
Наличие на складе: Невозможна поставка.
Описание:

A new and refreshingly different approach to presenting the foundations of statistical algorithms, Foundations of Statistical Algorithms: With References to R Packages reviews the historical development of basic algorithms to illuminate the evolution of today's more powerful statistical algorithms. It emphasizes recurring themes in all statistical algorithms, including computation, assessment and verification, iteration, intuition, randomness, repetition and parallelization, and scalability. Unique in scope, the book reviews the upcoming challenge of scaling many of the established techniques to very large data sets and delves into systematic verification by demonstrating how to derive general classes of worst case inputs and emphasizing the importance of testing over a large number of different inputs.

Broadly accessible, the book offers examples, exercises, and selected solutions in each chapter as well as access to a supplementary website. After working through the material covered in the book, readers should not only understand current algorithms but also gain a deeper understanding of how algorithms are constructed, how to evaluate new algorithms, which recurring principles are used to tackle some of the tough problems statistical programmers face, and how to take an idea for a new method and turn it into something practically useful.


Hiding Data - Selected Topics: Rudolf Ahlswede`s Lectures on Information Theory 3

Автор: Ahlswede Alexander, Ahlswede Rudolf, Althцfer Ingo
Название: Hiding Data - Selected Topics: Rudolf Ahlswede`s Lectures on Information Theory 3
ISBN: 3319810553 ISBN-13(EAN): 9783319810553
Издательство: Springer
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Цена: 102480.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Devoted to information security, this volume begins with a short course on cryptography, mainly basedon lectures given by Rudolf Ahlswede at the University of Bielefeld in the mid1990s.

Foundations of Data Organization

Автор: Sakti P. Ghosh; Yahiko Kambayashi; Katsume Tanaka
Название: Foundations of Data Organization
ISBN: 1461290481 ISBN-13(EAN): 9781461290483
Издательство: Springer
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Цена: 81050.00 T
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Foundations of Data Science with Python

Автор: Shea, John M
Название: Foundations of Data Science with Python
ISBN: 1032346744 ISBN-13(EAN): 9781032346748
Издательство: Taylor&Francis
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Цена: 193950.00 T
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Stochastic Foundations in Movement Ecology

Автор: Vicen? M?ndez; Daniel Campos; Frederic Bartumeus
Название: Stochastic Foundations in Movement Ecology
ISBN: 3642390099 ISBN-13(EAN): 9783642390098
Издательство: Springer
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Цена: 93160.00 T
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Описание: This book details the fundamental theory for non-standard diffusion problems in movement ecology. It features numerous exercises with solutions.

Transmitting and Gaining Data

Автор: Rudolf Ahlswede; Alexander Ahlswede; Ingo Alth?fer
Название: Transmitting and Gaining Data
ISBN: 3319356569 ISBN-13(EAN): 9783319356563
Издательство: Springer
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Цена: 88500.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The calculation of channel capacities was one of Rudolf Ahlswede`s specialties and is the main topic of this second volume of his Lectures on Information Theory. For transmission and hiding data, Shannon developed an impressive mathematical theory called Information Theory, which he based on probabilistic models.

Network Data Envelopment Analysis: Foundations and Extensions

Автор: Kao Chiang
Название: Network Data Envelopment Analysis: Foundations and Extensions
ISBN: 3319811045 ISBN-13(EAN): 9783319811048
Издательство: Springer
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Цена: 186330.00 T
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Описание: Introduction.- Output-Input Ratio Efficiency Measures.- Distance Function Efficiency Measures.- Slacks-based Efficiency Measures.- Efficiency Measurement in Special Production Stages.- Special Types of Input and Output Factors.- Special Types of Data.- Changes of Efficiency over Time.- Basic Ideas in Efficiency Measurement for Network Systems.- Basic Two-stage Systems.- General Two-stage Systems.- General Multi-stage Systems.- Parallel Systems.- Hierarchical Systems.- Assembly and Disassembly Systems.- Mixed Systems.- Dynamic Systems.- Epilogue.


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