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Data science foundations, Murtagh, Fionn


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Цена: 7501.00р.
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Автор: Murtagh, Fionn
Название:  Data science foundations
ISBN: 9780367657758
Издательство: Taylor&Francis
Классификация:


ISBN-10: 0367657759
Обложка/Формат: Paperback
Страницы: 206
Вес: 0.43 кг.
Дата издания: 30.09.2020
Серия: Chapman & hall/crc computer science & data analysis
Язык: English
Размер: 178 x 252 x 18
Читательская аудитория: Tertiary education (us: college)
Подзаголовок: Geometry and topology of complex hierarchic systems and big data analytics
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Поставляется из: Европейский союз
Описание: This book is designed to provide a new framework for Data Science, based on a solid foundation in mathematics and computational science. It is written in an accessible style, for readers who are engaged with the subject but not necessarily experts in all aspects.


Mathematical Physics: A Modern Introduction To Its Foundations

Автор: Sadri Hassani
Название: Mathematical Physics: A Modern Introduction To Its Foundations
ISBN: 3319011944 ISBN-13(EAN): 9783319011943
Издательство: Springer
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Цена: 12947.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

This book is for physics students interested in the mathematics they use and for mathematics students interested in seeing how some of the ideas of their discipline find realization in an applied setting. The presentation tries to strike a balance between formalism and application, between abstract and concrete. The interconnections among the various topics are clarified both by the use of vector spaces as a central unifying theme, recurring throughout the book, and by putting ideas into their historical context. Enough of the essential formalism is included to make the presentation self-contained.

The book is divided into eight parts: The first covers finite- dimensional vector spaces and the linear operators defined on them. The second is devoted to infinite-dimensional vector spaces, and includes discussions of the classical orthogonal polynomials and of Fourier series and transforms. The third part deals with complex analysis, including complex series and their convergence, the calculus of residues, multivalued functions, and analytic continuation. Part IV treats ordinary differential equations, concentrating on second-order equations and discussing both analytical and numerical methods of solution. The next part deals with operator theory, focusing on integral and Sturm--Liouville operators. Part VI is devoted to Green's functions, both for ordinary differential equations and in multidimensional spaces. Parts VII and VIII contain a thorough discussion of differential geometry and Lie groups and their applications, concluding with Noether's theorem on the relationship between symmetries and conservation laws.

Intended for advanced undergraduates or beginning graduate students, this comprehensive guide should also prove useful as a refresher or reference for physicists and applied mathematicians. Over 300 worked-out examples and more than 800 problems provide valuable learning aids.

Numerous enhancements and revision are incorporated into this new edition. For example, fiber bundle techniques are used to introduce differential geometry. This more elegant and intuitive approach naturally connects differential geometry with not only the general theory of relativity, but also gauge theories of fundamental forces.

Some praise for the previous edition:

PAGEOPH Pure and Applied Geophysics]

Review by Daniel Wojcik, University of Maryland

"This volume should be a welcome addition to any collection. The book is well written and explanations are usually clear. Lives of famous mathematicians and physicists are scattered within the book. They are quite extended, often amusing, making nice interludes. Numerous exercises help the student practice the methods introduced. ... I have recently been using this book for an extended time and acquired a liking for it. Among all the available books treating mathematical methods of physics this one certainly stands out and assuredly it would suit the needs of many physics readers."

ZENTRALBLATT MATH

Review by G.Roepstorff, University of Aachen, Germany

..". Unlike most existing texts with the same emphasis and audience, which are merely collections of facts and formulas, the present book is more systematic, self-contained, with a level of presentation that tends to be more formal and abstract. This entails proving a large number of theorems, lemmas, and corollaries, deferring most of the applications that physics students might be interested in to the example sections in small print. Indeed, there are 350 worked-out examples and about 850 problems. ... A very nice feature is the way the author intertwines the formalism with the life stories and anecdotes of some mathematicians and physicists, leading at their times. As is often the case, the historical view point helps to understand and appreciate the ideas presented in the text. ... For the physics studen

Foundations and Novel Approaches in Data Mining

Автор: Tsau Young Lin; Setsuo Ohsuga; Churn-Jung Liau; Xi
Название: Foundations and Novel Approaches in Data Mining
ISBN: 3540283153 ISBN-13(EAN): 9783540283157
Издательство: Springer
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Цена: 30606.00 р.
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Описание: Presents a theoretical foundation of data-mining and provides important directions for data-mining research.

Data Mining: Foundations and Intelligent Paradigms

Автор: Dawn E. Holmes; Lakhmi C. Jain
Название: Data Mining: Foundations and Intelligent Paradigms
ISBN: 3642430937 ISBN-13(EAN): 9783642430930
Издательство: Springer
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Цена: 23508.00 р.
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Описание: However, in compiling a volume titled "DATA MINING: Foundations and Intelligent Paradigms: Volume 1: Clustering, Association and Classification" we wish to introduce some of the latest developments to a broad audience of both specialists and non-specialists in this field.

Data Mining: Foundations and Intelligent Paradigms

Автор: Dawn E. Holmes; Lakhmi C. Jain
Название: Data Mining: Foundations and Intelligent Paradigms
ISBN: 3642434290 ISBN-13(EAN): 9783642434297
Издательство: Springer
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Цена: 18284.00 р.
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Описание: Data mining is a rapidly growing research area in computer science and statistics. Volume 2 of this three-volume series covers theoretical aspects of the subject, including statistical, Bayesian, time-series and others relevant to health informatics.

Data Mining: Foundations and Intelligent Paradigms

Автор: Dawn E. Holmes; Lakhmi C. Jain
Название: Data Mining: Foundations and Intelligent Paradigms
ISBN: 3642435467 ISBN-13(EAN): 9783642435461
Издательство: Springer
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Цена: 29209.00 р.
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Описание: This volume, which includes the latest research on data mining and its applications to financial modeling, presents its material in an easy-to-consult handbook style and is aimed at a broad audience that includes both specialists and non-specialists alike.

Foundations of Data Mining and Knowledge Discovery

Автор: Tsau Young Lin; Setsuo Ohsuga; Churn-Jung Liau; Xi
Название: Foundations of Data Mining and Knowledge Discovery
ISBN: 364243228X ISBN-13(EAN): 9783642432286
Издательство: Springer
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Цена: 27251.00 р.
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Описание: "Foundations of Data Mining and Knowledge Discovery" contains the latest results and new directions in data mining research.

Foundations of Data Mining and Knowledge Discovery

Автор: Tsau Young Lin; Setsuo Ohsuga; Churn-Jung Liau; Xi
Название: Foundations of Data Mining and Knowledge Discovery
ISBN: 3540262571 ISBN-13(EAN): 9783540262572
Издательство: Springer
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Цена: 27251.00 р.
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Описание: "Foundations of Data Mining and Knowledge Discovery" contains the latest results and new directions in data mining research.

Foundations and Methods in Combinatorial and Statistical Data Analysis and Clustering

Автор: Isra?l C?sar Lerman
Название: Foundations and Methods in Combinatorial and Statistical Data Analysis and Clustering
ISBN: 1447167910 ISBN-13(EAN): 9781447167914
Издательство: Springer
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Цена: 23058.00 р.
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Описание: Preface.- On Some Facets of the Partition Set of a Finite Set.- Two Methods of Non-hierarchical Clustering.- Structure and Mathematical Representation of Data.- Ordinal and Metrical Analysis of the Resemblance Notion.- Comparing Attributes by a Probabilistic and Statistical Association I.- Comparing Attributes by a Probabilistic and Statistical Association II.- Comparing Objects or Categories Described by Attributes.- The Notion of "Natural" Class, Tools for its Interpretation. The Classifiability Concept.- Quality Measures in Clustering.- Building a Classification Tree.- Applying the LLA Method to Real Data.- Conclusion and Thoughts for Future Works

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: 12157.00 р.
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Mathematical Methods in Engineering

Автор: Powers, Joseph M. (University of Notre Dame, Indiana) Sen, Mihir (University of Notre Dame, Indiana)
Название: Mathematical Methods in Engineering
ISBN: 1107037042 ISBN-13(EAN): 9781107037045
Издательство: Cambridge Academ
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Цена: 10138.00 р.
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Описание: This book is designed for engineering graduate students. It connects mathematics to a variety of methods used for engineering problems by walking the reader stepwise through examples that have been worked in detail, followed by numerous homework problems to reinforce learning and connect the subject matter to engineering applications.

Foundations and Novel Approaches in Data Mining

Автор: Tsau Young Lin; Setsuo Ohsuga; Churn-Jung Liau; Xi
Название: Foundations and Novel Approaches in Data Mining
ISBN: 364206650X ISBN-13(EAN): 9783642066504
Издательство: Springer
Рейтинг:
Цена: 30606.00 р.
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Описание: Data-mining has become a popular research topic in recent years for the treatment of the "data rich and information poor" syndrome. In this volume, we hope to remedy problems by (1) presenting a theoretical foundation of data-mining, and (2) providing important new directions for data-mining research.

Foundations and Advances in Data Mining

Автор: Wesley Chu; Tsau Young Lin
Название: Foundations and Advances in Data Mining
ISBN: 3642425380 ISBN-13(EAN): 9783642425387
Издательство: Springer
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Цена: 27251.00 р.
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Описание: The presented theories will give data mining practitioners a scientific perspective in data mining and thus provide more insight into their problems, and the provided new data mining topics can be expected to stimulate further research in these important directions.


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