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Introduction to data science., Igual, Laura, Segu?, Santi



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Цена: 5196р.
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Автор: Igual, Laura, Segu?, Santi
Название:  Introduction to data science.
Перевод названия: Игвал: Введение в науку о данных
ISBN: 9783319500164
Издательство: Springer
Классификация:
ISBN-10: 3319500163
Обложка/Формат: Paperback
Страницы: 218
Вес: 0.426 кг.
Дата издания: 02.03.2017
Серия: Undergraduate topics in computer science
Язык: English
Иллюстрации: 6 black & white illustrations, 67 colour illustrations, 67 colour tables, biography
Размер: 159 x 242 x 11
Читательская аудитория: Professional & vocational
Подзаголовок: A python approach to concepts, techniques and applications
Ссылка на Издательство: Link
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Поставляется из: Германии



Introduction to the analysis of algorithm

Автор: Soltys, Michael
Название: Introduction to the analysis of algorithm
ISBN: 9814271403 ISBN-13(EAN): 9789814271400
Издательство: World Scientific Publishing
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Цена: 5067 р.
Наличие на складе: Поставка под заказ.

Описание: Covers the mathematical foundations of the analysis of algorithms. This book considers the basic and traditional algorithms of computer science, such as Greedy, Dynamic and Divide and Conquer. It is suitable for undergraduate students in computer science and mathematics.

Introduction to Pattern Recognition: A Matlab Approach,

Автор: Sergios Theodoridis
Название: Introduction to Pattern Recognition: A Matlab Approach,
ISBN: 0123744865 ISBN-13(EAN): 9780123744869
Издательство: Elsevier Science
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Цена: 4268 р.
Наличие на складе: Поставка под заказ.

Описание: Introduction to Pattern Recognition: A Matlab Approach is an accompanying manual to Theodoridis/Koutroumbas' Pattern Recognition. It includes Matlab code of the most common methods and algorithms in the book, together with a descriptive summary and solved examples, and including real-life data sets in imaging and audio recognition. This text is designed for electronic engineering, computer science, computer engineering, biomedical engineering and applied mathematics students taking graduate courses on pattern recognition and machine learning as well as R&D engineers and university researchers in image and signal processing/analyisis, and computer vision.

Sullivan, Introduction to Data Mining for the Life Sciences

Название: Sullivan, Introduction to Data Mining for the Life Sciences
ISBN: 1588299422 ISBN-13(EAN): 9781588299420
Издательство: Springer
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Цена: 24826 р.
Наличие на складе: Поставка под заказ.

Описание: Data mining provides a set of new techniques to integrate, synthesize, and analyze tdata, uncovering the hidden patterns that exist within. Traditionally, techniques such as kernel learning methods, pattern recognition, and data mining, have been the domain of researchers in areas such as artificial intelligence, but leveraging these tools, techniques, and concepts against your data asset to identify problems early, understand interactions that exist and highlight previously unrealized relationships through the combination of these different disciplines can provide significant value for the investigator and her organization.

Statistical Computing: An Introduction to Data Analysis using S-Plus

Автор: Michael J. Crawley
Название: Statistical Computing: An Introduction to Data Analysis using S-Plus
ISBN: 0471560405 ISBN-13(EAN): 9780471560401
Издательство: Wiley
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Цена: 14884 р.
Наличие на складе: Поставка под заказ.

Описание: Offers coverage of basic and advanced statistical methods, concentrating on graphical inspection, and featuring step-by-step instruction to help non-statisticians understand the methodology.

Автор: Draghici
Название: An Introduction to Statistics and Data Analysis for Bioinformatics using R
ISBN: 1439892369 ISBN-13(EAN): 9781439892367
Издательство: Taylor&Francis
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Цена: 8524 р.
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Описание: From the very basics to linear models, this book provides a complete introduction to statistics, data analysis, and R for bioinformatics research and applications. It covers ANOVA, cluster analysis, visualization tools, and machine learning techniques. Suitable for self-study and courses in computational biology, bioinformatics, statistics, and the life sciences, the text also presents examples of microarrays and bioinformatics applications. R code illustrates all of the essential concepts and is available on an accompanying CD-ROM.

Discovering Knowledge in Data: An Introduction to Data Mining, 2nd Edition

Автор: Larose
Название: Discovering Knowledge in Data: An Introduction to Data Mining, 2nd Edition
ISBN: 0470908742 ISBN-13(EAN): 9780470908747
Издательство: Wiley
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Цена: 10718 р.
Наличие на складе: Поставка под заказ.

Описание: The field of data mining lies at the confluence of predictive analytics, statistical analysis, and business intelligence. Due to the ever-increasing complexity and size of data sets and the wide range of applications in computer science, business, and health care, the process of discovering knowledge in data is more relevant than ever before.

Data Mining for the Social Sciences: An Introduction

Автор: Attewell Paul, Monaghan David
Название: Data Mining for the Social Sciences: An Introduction
ISBN: 0520280989 ISBN-13(EAN): 9780520280984
Издательство: Wiley
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Цена: 4263 р.
Наличие на складе: Поставка под заказ.

Описание: We live in a world of big data: the amount of information collected on human behavior each day is staggering, and exponentially greater than at any time in the past. Providing an introduction to data mining, the authors discuss how data mining substantially differs from conventional statistical modeling familiar to most social scientists.

An Introduction to Secondary Data Analysis with IBM SPSS Statis

Автор: MacInnes John
Название: An Introduction to Secondary Data Analysis with IBM SPSS Statis
ISBN: 1446285774 ISBN-13(EAN): 9781446285770
Издательство: Sage Publications
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Цена: 4792 р.
Наличие на складе: Поставка под заказ.

Описание: Many professional, high-quality surveys collect data on people's behaviour, experiences, lifestyles and attitudes. The data they produce is more accessible than ever before. This book provides students with a comprehensive introduction to using this data, as well as transactional data and big data sources, in their own research projects. Here you will find all you need to know about locating, accessing, preparing and analysing secondary data, along with step-by-step instructions for using IBM SPSS Statistics. You will learn how to: Create a robust research question and design that suits secondary analysis Locate, access and explore data online Understand data documentation Check and 'clean' secondary data Manage and analyse your data to produce meaningful results Replicate analyses of data in published articles and books Using case studies and video animations to illustrate each step of your research, this book provides you with the quantitative analysis skills you'll need to pass your course, complete your research project and compete in the job market. Exercises throughout the book and on the book's companion website give you an opportunity to practice, check your understanding and work hands on with real data as you're learning.

An Introduction to Secondary Data Analysis with IBM SPSS Statistics

Автор: MacInnes J
Название: An Introduction to Secondary Data Analysis with IBM SPSS Statistics
ISBN: 1446285766 ISBN-13(EAN): 9781446285763
Издательство: Sage Publications
Рейтинг:
Цена: 14791 р.
Наличие на складе: Поставка под заказ.

Описание: Many professional, high-quality surveys collect data on people's behaviour, experiences, lifestyles and attitudes. The data they produce is more accessible than ever before. This book provides students with a comprehensive introduction to using this data, as well as transactional data and big data sources, in their own research projects. Here you will find all you need to know about locating, accessing, preparing and analysing secondary data, along with step-by-step instructions for using IBM SPSS Statistics. You will learn how to: Create a robust research question and design that suits secondary analysis Locate, access and explore data online Understand data documentation Check and 'clean' secondary data Manage and analyse your data to produce meaningful results Replicate analyses of data in published articles and books Using case studies and video animations to illustrate each step of your research, this book provides you with the quantitative analysis skills you'll need to pass your course, complete your research project and compete in the job market. Exercises throughout the book and on the book's companion website give you an opportunity to practice, check your understanding and work hands on with real data as you're learning.

Matrix-Based Introduction to Multivariate Data Analysis

Автор: Adachi
Название: Matrix-Based Introduction to Multivariate Data Analysis
ISBN: 9811023409 ISBN-13(EAN): 9789811023408
Издательство: Springer
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Цена: 7737 р.
Наличие на складе: Невозможна поставка.

Описание:

This book enables readers who may not be familiar with matrices to understand a variety of multivariate analysis procedures in matrix forms. Another feature of the book is that it emphasizes what model underlies a procedure and what objective function is optimized for fitting the model to data. The author believes that the matrix-based learning of such models and objective functions is the fastest way to comprehend multivariate data analysis. The text is arranged so that readers can intuitively capture the purposes for which multivariate analysis procedures are utilized: plain explanations of the purposes with numerical examples precede mathematical descriptions in almost every chapter.
This volume is appropriate for undergraduate students who already have studied introductory statistics. Graduate students and researchers who are not familiar with matrix-intensive formulations of multivariate data analysis will also find the book useful, as it is based on modern matrix formulations with a special emphasis on singular value decomposition among theorems in matrix algebra.
The book begins with an explanation of fundamental matrix operations and the matrix expressions of elementary statistics, followed by the introduction of popular multivariate procedures with advancing levels of matrix algebra chapter by chapter. This organization of the book allows readers without knowledge of matrices to deepen their understanding of multivariate data analysis.
Introduction to Numerical Ordinary and Partial Differential Equations Using MATLAB

Автор: Alexander Stanoyevitch
Название: Introduction to Numerical Ordinary and Partial Differential Equations Using MATLAB
ISBN: 0471697389 ISBN-13(EAN): 9780471697381
Издательство: Wiley
Рейтинг:
Цена: 18425 р.
Наличие на складе: Поставка под заказ.

Описание: Introduction to Numerical Ordinary and Partial Differential Equations Using MATLAB(R) teaches you how to numerically solve both ordinary and partial differential equations with ease. This innovative resource brings together a skillful treatment of MATLAB and programming alongside current theory and modeling methods. All the tools needed to master MATLAB and then use it to solve differential equations are provided. "Exercises for the Reader" range from routine computations to more advanced conceptual and theoretical questions, while illustrative examples demonstrate MATLAB's powerful ability to solve differential equations. With its thorough coverage of analytic concepts, geometric concepts, programs and algorithms, and applications, Introduction to Numerical Ordinary and Partial Differential Equations Using MATLAB(R) is an unsurpassed pedagogical tool.

Introduction to matlab 7 for engineers

Автор: Palm
Название: Introduction to matlab 7 for engineers
ISBN: 0071232621 ISBN-13(EAN): 9780071232623
Издательство: McGraw-Hill
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Цена: 6186 р.
Наличие на складе: Поставка под заказ.

Описание: Providing an introduction to MATLAB, this work features application of MATLAB to engineering problems. It features a variety of worked examples and problems, and its applications draw on various areas of engineering. It is designed to be used in an introductory course, as a self-study text, or as a supplementary text.


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