Introduction to NFL Analytics with R, Congelio, Bradley J
Автор: James, Gareth Witten, Daniela Hastie, Trevor Tibsh Название: Introduction to statistical learning ISBN: 1071614177 ISBN-13(EAN): 9781071614174 Издательство: Springer Рейтинг: Цена: 8384.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, deep learning, survival analysis, multiple testing, and more.
Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers.
An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.
This Second Edition features new chapters on deep learning, survival analysis, and multiple testing, as well as expanded treatments of naive Bayes, generalized linear models, Bayesian additive regression trees, and matrix completion. R code has been updated throughout to ensure compatibility.
Автор: Haigh, John Название: Probability: A Very Short Introduction ISBN: 0199588481 ISBN-13(EAN): 9780199588480 Издательство: Oxford Academ Рейтинг: Цена: 1582.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Making good decisions under conditions of uncertainty requires an appreciation of the way random chance works. In this Very Short Introduction, John Haigh provides a brief account of probability theory; explaining the philosophical approaches, discussing probability distributions, and looking its applications in science and economics.
Автор: Chandrupatla, Tirupathi, Belegundu, Ashok Название: Introduction to finite elements in engineering ISBN: 1108841414 ISBN-13(EAN): 9781108841412 Издательство: Cambridge Academ Рейтинг: Цена: 11878.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Thoroughly updated with improved pedagogy, the fifth edition provides senior undergraduate and graduate students with a clear, comprehensive introduction to the field. Features enhanced coverage of introductory topics, over thirty additional solved problems; downloadable Matlab, Python, C, and Javascript code; and solutions for instructors.
Автор: Wang, Lily (iowa State University, Ames, Usa) Название: Data science for infectious disease data analytics ISBN: 1032187425 ISBN-13(EAN): 9781032187426 Издательство: Taylor&Francis Рейтинг: Цена: 11482.00 р. Наличие на складе: Поставка под заказ.
Описание: With a quick start guide to epidemiological data visualization and analysis in R, this book spans the gulf between academia and practices providing many lively, instructive data analysis examples using the most up-to-date data, such as the newly discovered COVID-19.
Автор: Beggs, Clive Название: Soccer Analytics: An Introduction Using R ISBN: 1032357584 ISBN-13(EAN): 9781032357584 Издательство: Taylor&Francis Рейтинг: Цена: 8114.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Perros, Harry G. Название: An Introduction to IoT Analytics ISBN: 0367686317 ISBN-13(EAN): 9780367686314 Издательство: Taylor&Francis Рейтинг: Цена: 7348.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book covers techniques that can be used to analyze data from IoT sensors and also addresses questions regarding the performance of an IoT system. It strikes a balance between practice and theory so that one can learn how to apply these tools in practice with a good understanding of their inner workings.
Автор: Brunsdon Chris Название: Introduction to R for Spatial Analysis and Mapping ISBN: 1526428504 ISBN-13(EAN): 9781526428509 Издательство: Sage Publications Рейтинг: Цена: 7126.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This is a new edition of the accessible and student-friendly `how to` for anyone using R for the first time, for use in spatial statistical analysis, geocomputation and digital mapping.
Описание: This book presents the foundations of using analytics from the laboratory, social media platforms, and the web. The authors cover key topics including analytics strategy, data gathering approaches, data preprocessing, data quality assessment, analytical methods, tools, and validation methods. The book includes chapters explaining web analytics, social media analytics, and how to create an analytics strategy. The authors also cover on data sources, such as online surveys, crowdsourcing, eye tracking, mouse tracking, social media APIs, search logs, and analytics triangulation. The book also discusses analytical tools for social media analytics, search analytics, persona analytics, user studies, and website analytics. The authors conclude by examining the validity of online analytics.
Автор: Levine, E. S. Название: Applying Analytics ISBN: 1466557184 ISBN-13(EAN): 9781466557185 Издательство: Taylor&Francis Рейтинг: Цена: 27562.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Wolfgang Marty Название: Portfolio Analytics ISBN: 3319345257 ISBN-13(EAN): 9783319345253 Издательство: Springer Рейтинг: Цена: 9781.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This textbook first introduces the reader to return measurement and then goes on to compare the time-weighted rate of return (TWR) with the money-weighted rate of return (MWR). To emphasize the importance of risk in conjunction with return, different tracking errors are analyzed and ex-post versus ex-ante risk figures are compared.
Описание: When it comes to business intelligence and analytical capabilities, SAS Visual Analytics is the premier solution for data discovery, visualization, and reporting. An Introduction to SAS Visual Analytics will show you how to make sense of your complex data with the goal of leading you to smarter, data-driven decisions without having to write a single line of code - unless you want to You will be able to use SAS Visual Analytics to access, prepare, and present your data to anyone anywhere in the world.
SAS Visual Analytics automatically highlights key relationships, outliers, clusters, trends and more. These abilities will guide you to critical insights that inspire action from your data. With this book, you will become proficient using SAS Visual Analytics to present data and results in customizable, robust visualizations, as well as guided analyses through auto-charting. With interactive dashboards, charts, and reports, you will create visualizations which convey clear and actionable insights for any size and type of data.
This book largely focuses on the version of SAS Visual Analytics on SAS 9.4, although it is available on both 9.4 and SAS Viya platforms. Each version is considered the latest release, with subsequent releases planned to continue on each platform; hence, the Viya version works similarly to the 9.4 version and will look familiar. This book covers new features of each and important differences between the two.
With this book, you will learn how to:
Build your first report using the SAS Visual Analytics Designer
Prepare a dashboard and determine the best layout
Effectively use geo-spatial objects to add location analytics to reports
Understand and use the elements of data visualizations
Prepare and load your data with the SAS Visual Analytics Data Builder
Analyze data with a variety of options, including forecasting, word clouds, heat maps, correlation matrix, and more
Understand administration activities to keep SAS Visual Analytics humming along
Optimize your environment for considerations such as scalability, availability, and efficiency between components of your SAS software deployment and data providers
Автор: Chris Brunsdon, Lex Comber Название: An Introduction to R for Spatial Analysis and Mapping ISBN: 1526428490 ISBN-13(EAN): 9781526428493 Издательство: Sage Publications Рейтинг: Цена: 19800.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This is a new edition of the accessible and student-friendly `how to` for anyone using R for the first time, for use in spatial statistical analysis, geocomputation and digital mapping.
ООО "Логосфера " Тел:+7(495) 980-12-10 www.logobook.ru
