История
+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
 
 
Вход в систему
Книги
Информация
Читайте отзывы покупателей и оценивайте качество магазина на Яндекс.Маркете
Online Каталоги
Каталог учебной литературы
по английскому языку >>>

Каталог учебной литературы
по английскому языку >>>


An Introduction to Statistical Learning, James Gareth

Варианты приобретения
Цена: 5609р.
Кол-во:
Наличие: Поставка под заказ.  Есть в наличии на складе поставщика.
Склад Англия: 76 шт.  Склад Америка: 344 шт.  
При оформлении заказа до: 1 мар 2019
Ориентировочная дата поставки: начало Апреля

Добавить в корзину
в Мои желания
Автор: James Gareth
Название:  An Introduction to Statistical Learning   (Джеймс Гарет: Введение в изучение статистики)
Издательство: Springer
Классификация:
Вероятность и статистика
Прикладная математика
Физика
Математическое и статистическое программное обеспечение

ISBN: 1461471370
ISBN-13(EAN): 9781461471370
ISBN: 1-461-47137-0
ISBN-13(EAN): 978-1-461-47137-0
Обложка/Формат: Hardback
Страницы: 426
Вес: 0.852 кг.
Дата издания: 25.06.2013
Серия: Springer texts in statistics
Язык: ENG
Иллюстрации: 4 black & white illustrations, 146 colour illustrations, 10 black & white tables, biography
Размер: 235 X 155 X 25
Читательская аудитория: Professional & vocational
Подзаголовок: With applications in r
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Германии
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.



Pattern Recognition and Machine Learning

Автор: Bishop
Название: Pattern Recognition and Machine Learning
ISBN: 0387310738 ISBN-13(EAN): 9780387310732
Издательство: Springer
Рейтинг:
Цена: 6634 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The dramatic growth in practical applications for machine learning over the last ten years has been accompanied by many important developments in the underlying algorithms and techniques. For example, Bayesian methods have grown from a specialist niche to become mainstream, while graphical models have emerged as a general framework for describing and applying probabilistic techniques. The practical applicability of Bayesian methods has been greatly enhanced by the development of a range of approximate inference algorithms such as variational Bayes and expectation propagation, while new models based on kernels have had a significant impact on both algorithms and applications.A forthcoming companion volume will deal with practical aspects of pattern recognition and machine learning, and will include free software implementations of the key algorithms along with example data sets and demonstration programs.Christopher Bishop is Assistant Director at Microsoft Research Cambridge, and also holds a Chair in Computer Science at the University of Edinburgh. He is a Fellow of Darwin College Cambridge, and was recently elected Fellow of the Royal Academy of Engineering. The author's previous textbook "Neural Networks for Pattern Recognition" has been widely adopted.Coming soon:*For students, worked solutions to a subset of exercises available on a public web site (for exercises marked "www" in the text)*For instructors, worked solutions to remaining exercises from the Springer web site*Lecture slides to accompany each chapter*Data sets available for download

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
Рейтинг:
Цена: 6540 р.
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.

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: 6164 р.
Наличие на складе: Поставка под заказ.

Описание: Rev. ed. of: Statistical modeling and analysis for database marketing. c2003.

Introduction to Time Series Using Stata

Автор: Becketti
Название: Introduction to Time Series Using Stata
ISBN: 1597181323 ISBN-13(EAN): 9781597181327
Издательство: Taylor&Francis
Рейтинг:
Цена: 7418 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Introduction to Time Series Using Stata provides a step-by-step guide to essential timeseries techniques—from the incredibly simple to the quite complex—and, at the same time, demonstrates how these techniques can be applied in the Stata statistical package. The emphasis is on an understanding of the intuition underlying theoretical innovations and an ability to apply them. Real-world examples illustrate the application of each concept as it is introduced, and care is taken to highlight the pitfalls, as well as the power, of each new tool.

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: 16302 р.
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.

Introduction to Nonextensive Statistical Mechanics

Автор: Constantino Tsallis
Название: Introduction to Nonextensive Statistical Mechanics
ISBN: 0387853588 ISBN-13(EAN): 9780387853581
Издательство: Springer
Рейтинг:
Цена: 7863 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Metaphors, generalizations and unifications are natural and desirable ingredients of the evolution of scientific theories and concepts. This book focuses on nonextensive statistical mechanics, a generalization of Boltzmann-Gibbs (BG) statistical mechanics, one of the greatest monuments of contemporary physics.

Introduction to High-Dimensional Statistics

Автор: Giraud
Название: Introduction to High-Dimensional Statistics
ISBN: 1482237946 ISBN-13(EAN): 9781482237948
Издательство: Taylor&Francis
Рейтинг:
Цена: 5851 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This is a concise guide to state-of-the-art models, techniques, and approaches for handling high-dimensional data. The book is intended to expose the reader to the key concepts and ideas in the most simple settings possible while avoiding unnecessary technicalities. This highly accessible text describes the challenges related to the analysis of high-dimensional data; covers cutting-edge statistical methods including model selection, sparsity and the lasso, aggregation, and learning theory; and provides detailed exercises at the end of every chapter with collaborative solutions on a wikisite.

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: р.
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.

An Introduction to Probability and Statistical Inference,

Автор: George G. Roussas
Название: An Introduction to Probability and Statistical Inference,
ISBN: 0125990200 ISBN-13(EAN): 9780125990202
Издательство: Elsevier Science
Цена: 9065 р.
Наличие на складе: Невозможна поставка.

Introduction to Statistical Physics

Автор: Salinas Silvio
Название: Introduction to Statistical Physics
ISBN: 0387951199 ISBN-13(EAN): 9780387951195
Издательство: Springer
Рейтинг:
Цена: 8738 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This textbook covers the basic principles of statistical physics and thermodynamics. The text is pitched at the level equivalent to first-year graduate studies or advanced undergraduate studies. After reviewing the basic probability theory of classical thermodynamics, the author addresses the standard topics of statistical physics.

Monte Carlo Simulation in Statistical Physics / An Introduction

Автор: Binder K., Heermann D.W.
Название: Monte Carlo Simulation in Statistical Physics / An Introduction
ISBN: 3540432213 ISBN-13(EAN): 9783540432210
Издательство: Springer
Рейтинг:
Цена: 5138 р.
Наличие на складе: Поставка под заказ.

Описание: Monte Carlo Simulation in Statistical Physics deals with the computer simulation of many-body systems in condensed-matter physics and related fields of physics, chemistry and beyond, to traffic flows, stock market fluctuations, etc.). Using random numbers generated by a computer, probability distributions are calculated, allowing the estimation of the thermodynamic properties of various systems. This book describes the theoretical background to several variants of these Monte Carlo methods and gives a systematic presentation from which newcomers can learn to perform such simulations and to analyze their results. This fourth edition has been updated and a new chapter on Monte Carlo simulation of quantum-mechanical problems has been added. To help students in their work a special web server has been installed to host programs and discussion groups (http://wwwcp.tphys.uni-heidelberg.de). Prof. Binder was the winner of the Berni J. Alder CECAM Award for Computational Physics 2001.

An Introduction To Statistical Conc

Автор: Lomax
Название: An Introduction To Statistical Conc
ISBN: 0805857397 ISBN-13(EAN): 9780805857399
Издательство: Taylor&Francis
Цена: 4175 р.
Наличие на складе: Поставка под заказ.

Описание: "Statistical Concepts, 3E" consists of the last 8 chapters of Richard Lomax's best selling text, "An Introduction to Statistical Concepts, 2E". Designed for a second course in statistics, Lomax's comprehensive and flexible coverage allows instructors to pick and choose those topics most appropriate for their course. It includes topics not found in competing texts such as the non-parametric and modern alternative procedures and advanced analysis of variance (ANOVA) and regression models.

Its intuitive approach helps students more easily understand the concepts and interpret software results. Throughout the text, the author demonstrates how many statistical concepts relate to one another. Only the most crucial equations are included.

The new edition features: SPSS sections throughout with input, output, and APA style write-ups using the book's dataset; a CD with every example and problem dataset used in the text in SPSS format; more information on confidence intervals, effect size measures, power, and regression models; a revised sequence of the regression and ANOVA chapters for enhanced conceptual flow; de-emphasized computations to provide more discussion of concepts and software; more end of chapter problems with more realistic data and a greater emphasis on interpretation; many more references; and an Instructor's Resource CD with all of the solutions to the problems and other teaching aids. "Statistical Concepts, 3E" covers a number of ANOVA and regression models: one-factor; multiple comparison; factorial; ANCOVA; random- and mixed-effect; hierarchical and randomized blocks; and simple and multiple regression. Realistic examples from education and the behavioural sciences illustrate the concepts.

Each example includes an examination of the various procedures and necessary assumptions, tips on developing an APA style write-up, and sample SPSS output. Useful tables of assumptions and the effects of their violation are included, along with how to test assumptions in SPSS. Each chapter concludes with conceptual and computational problems, about a third of which are new to this edition.

Answers to the odd-numbered problems are provided. It is intended for the second or intermediate course in statistics taught in education and/or behavioural science departments usually found at the master's or doctoral level and occasionally at the undergraduate level. A prerequisite of descriptive statistics through t-tests is assumed.


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