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The Elements of Statistical Learning, Trevor Hastie; Robert Tibshirani; Jerome Friedman


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Цена: 52400T
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Наличие: Поставка под заказ.  Есть в наличии на складе поставщика.
Склад Англия: 7 шт.  Склад Америка: 2375 шт.  
При оформлении заказа до: 21 май 2024
Ориентировочная дата поставки: Июль

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Автор: Trevor Hastie; Robert Tibshirani; Jerome Friedman
Название:  The Elements of Statistical Learning   (Тревор Хасти: Элементы статистики)
Издательство: Springer
Классификация:
ISBN: 0387848576
ISBN-13(EAN): 9780387848570
Обложка/Формат: Hardback
Страницы: 768
Вес: 1.39 кг.
Дата издания: 01.03.2009
Серия: Springer series in statistics
Язык: English
Издание: 2nd ed. 2009, corr.
Иллюстрации: 604 illustrations, color; 54 illustrations, black and white; xxii, 745 p. 658 illus., 604 illus. in color.
Размер: 244 x 169 x 37
Читательская аудитория: Professional & vocational
Рейтинг:
Поставляется из: Германии
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.

An Introduction to Multivariate Statistical Analysis, Third Edition

Автор: T. W. Anderson
Название: An Introduction to Multivariate Statistical Analysis, Third Edition
ISBN: 0471360910 ISBN-13(EAN): 9780471360919
Издательство: Wiley
Рейтинг:
Цена: 138560 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Uses the method of maximum likelihood to a large extent to ensure reasonable, and in some cases optimal procedures. This work treats the basic and important topics in multivariate statistics.

Statistical and Machine-Learning Data Mining

Автор: Ratner Bruce
Название: Statistical and Machine-Learning Data Mining
ISBN: 1439860912 ISBN-13(EAN): 9781439860915
Издательство: Taylor&Francis
Рейтинг:
Цена: 42830 T
Наличие на складе: Поставка под заказ.
Описание: Rev. ed. of: Statistical modeling and analysis for database marketing. c2003.

Introduction to statistical relational learning

Название: Introduction to statistical relational learning
ISBN: 0262072882 ISBN-13(EAN): 9780262072885
Издательство: MIT Press
Рейтинг:
Цена: 53460 T
Наличие на складе: Нет в наличии.
Описание: Advanced statistical modeling and knowledge representation techniques for a newly emerging area of machine learning and probabilistic reasoning; includes introductory material, tutorials for different proposed approaches, and applications.

Research design and statistical analysis

Автор: Myers, Jerome L
Название: Research design and statistical analysis
ISBN: 0805864318 ISBN-13(EAN): 9780805864311
Издательство: Taylor&Francis
Рейтинг:
Цена: 98010 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This interdisciplinary group of scholars-anthropologists, archaeologists, architects, educators, lawyers, heritage administrators, policy analysts, and consultants-make the first attempt to define and assess heritage values on a local, national and global level. Chapters range from the theoretical to policy frameworks to case studies of heritage practice, written by scholars from eight countries.

An Introduction to Statistical Learning

Автор: James Gareth
Название: An Introduction to Statistical Learning
ISBN: 1461471370 ISBN-13(EAN): 9781461471370
Издательство: Springer
Рейтинг:
Цена: 45420 T
Наличие на складе: Невозможна поставка.
Описание: This book presents key modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, and clustering.

Elements of Statistical Computing

Автор: Thisted
Название: Elements of Statistical Computing
ISBN: 0412013711 ISBN-13(EAN): 9780412013713
Издательство: Taylor&Francis
Рейтинг:
Цена: 127050 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Statistics and computing share many close relationships

Applied Linear Statistical Models with Student CD

Автор: Nachtsheim;Neter;Kutner
Название: Applied Linear Statistical Models with Student CD
ISBN: 0071122214 ISBN-13(EAN): 9780071122214
Издательство: McGraw-Hill
Рейтинг:
Цена: 46330 T
Наличие на складе: Поставка под заказ.
Описание: "Applied Linear Statistical Models", 5e, is the long established leading authoritative text and reference on statistical modeling. For students in most any discipline where statistical analysis or interpretation is used, ALSM serves as the standard work. The text includes brief introductory and review material, and then proceeds through regression and modeling for the first half, and through ANOVA and Experimental Design in the second half. All topics are presented in a precise and clear style supported with solved examples, numbered formulae, graphic illustrations, and "Notes" to provide depth and statistical accuracy and precision. Applications used within the text and the hallmark problems, exercises, and projects are drawn from virtually all disciplines and fields providing motivation for students in virtually any college. The Fifth edition provides an increased use of computing and graphical analysis throughout, without sacrificing concepts or rigor. In general, the 5e uses larger data sets in examples and exercises, and where methods can be automated within software without loss of understanding, it is so done.

Data Analysis Using Stata, Third Edition

Автор: Kohler
Название: Data Analysis Using Stata, Third Edition
ISBN: 1597181102 ISBN-13(EAN): 9781597181105
Издательство: Taylor&Francis
Рейтинг:
Цена: 52990 T
Наличие на складе: Невозможна поставка.
Описание:

Data Analysis Using Stata, Third Edition is a comprehensive introduction to both statistical methods and Stata. Beginners will learn the logic of data analysis and interpretation and easily become self-sufficient data analysts. Readers already familiar with Stata will find it an enjoyable resource for picking up new tips and tricks.

The book is written as a self-study tutorial and organized around examples. It interactively introduces statistical techniques such as data exploration, description, and regression techniques for continuous and binary dependent variables. Step by step, readers move through the entire process of data analysis and in doing so learn the principles of Stata, data manipulation, graphical representation, and programs to automate repetitive tasks. This third edition includes advanced topics, such as factor-variables notation, average marginal effects, standard errors in complex survey, and multiple imputation in a way, that beginners of both data analysis and Stata can understand.

Using data from a longitudinal study of private households, the authors provide examples from the social sciences that are relatable to researchers from all disciplines. The examples emphasize good statistical practice and reproducible research. Readers are encouraged to download the companion package of datasets to replicate the examples as they work through the book. Each chapter ends with exercises to consolidate acquired skills.


Data Mining

Автор: Roiger
Название: Data Mining
ISBN: 1498763979 ISBN-13(EAN): 9781498763974
Издательство: Taylor&Francis
Рейтинг:
Цена: 45730 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This textbook provides a tutorial-based introduction to data mining with a focus on model building and testing, as well as on interpreting and validating results. The book follows the format of the first edition, but with updates and additions throughout.

Introduction to Machine Learning with Applications in Information Security

Автор: Stamp
Название: Introduction to Machine Learning with Applications in Information Security
ISBN: 1138626783 ISBN-13(EAN): 9781138626782
Издательство: Taylor&Francis
Рейтинг:
Цена: 41380 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This class-tested textbook will provide in-depth coverage of the fundamentals of machine learning, with an exploration of applications in information security. The book will cover malware detection, cryptography, and intrusion detection. The book will be relevant for students in machine learning and computer security courses.


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