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Intelligent Data Analysis

Intelligent Data Analysis PDF
Author: Michael R. Berthold
Publisher: Springer
ISBN: 3540486259
Size: 61.12 MB
Format: PDF, Kindle
Category : Computers
Languages : en
Pages : 515
View: 3053

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This second and revised edition contains a detailed introduction to the key classes of intelligent data analysis methods. The twelve coherently written chapters by leading experts provide complete coverage of the core issues. The first half of the book is devoted to the discussion of classical statistical issues. The following chapters concentrate on machine learning and artificial intelligence, rule induction methods, neural networks, fuzzy logic, and stochastic search methods. The book concludes with a chapter on visualization and an advanced overview of IDA processes.

Bayesian Data Analysis Third Edition

Bayesian Data Analysis  Third Edition PDF
Author: Andrew Gelman
Publisher: CRC Press
ISBN: 1439898200
Size: 80.28 MB
Format: PDF, ePub, Docs
Category : Mathematics
Languages : en
Pages : 675
View: 2818

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Winner of the 2016 De Groot Prize from the International Society for Bayesian Analysis Now in its third edition, this classic book is widely considered the leading text on Bayesian methods, lauded for its accessible, practical approach to analyzing data and solving research problems. Bayesian Data Analysis, Third Edition continues to take an applied approach to analysis using up-to-date Bayesian methods. The authors—all leaders in the statistics community—introduce basic concepts from a data-analytic perspective before presenting advanced methods. Throughout the text, numerous worked examples drawn from real applications and research emphasize the use of Bayesian inference in practice. New to the Third Edition Four new chapters on nonparametric modeling Coverage of weakly informative priors and boundary-avoiding priors Updated discussion of cross-validation and predictive information criteria Improved convergence monitoring and effective sample size calculations for iterative simulation Presentations of Hamiltonian Monte Carlo, variational Bayes, and expectation propagation New and revised software code The book can be used in three different ways. For undergraduate students, it introduces Bayesian inference starting from first principles. For graduate students, the text presents effective current approaches to Bayesian modeling and computation in statistics and related fields. For researchers, it provides an assortment of Bayesian methods in applied statistics. Additional materials, including data sets used in the examples, solutions to selected exercises, and software instructions, are available on the book’s web page.

Data Analysis For Scientists And Engineers

Data Analysis for Scientists and Engineers PDF
Author: Edward L. Robinson
Publisher: Princeton University Press
ISBN: 0691169926
Size: 76.92 MB
Format: PDF, ePub
Category : Science
Languages : en
Pages : 408
View: 3718

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Data Analysis for Scientists and Engineers is a modern, graduate-level text on data analysis techniques for physical science and engineering students as well as working scientists and engineers. Edward Robinson emphasizes the principles behind various techniques so that practitioners can adapt them to their own problems, or develop new techniques when necessary. Robinson divides the book into three sections. The first section covers basic concepts in probability and includes a chapter on Monte Carlo methods with an extended discussion of Markov chain Monte Carlo sampling. The second section introduces statistics and then develops tools for fitting models to data, comparing and contrasting techniques from both frequentist and Bayesian perspectives. The final section is devoted to methods for analyzing sequences of data, such as correlation functions, periodograms, and image reconstruction. While it goes beyond elementary statistics, the text is self-contained and accessible to readers from a wide variety of backgrounds. Specialized mathematical topics are included in an appendix. Based on a graduate course on data analysis that the author has taught for many years, and couched in the looser, workaday language of scientists and engineers who wrestle directly with data, this book is ideal for courses on data analysis and a valuable resource for students, instructors, and practitioners in the physical sciences and engineering. In-depth discussion of data analysis for scientists and engineers Coverage of both frequentist and Bayesian approaches to data analysis Extensive look at analysis techniques for time-series data and images Detailed exploration of linear and nonlinear modeling of data Emphasis on error analysis Instructor's manual (available only to professors)

Data Analysis And Applications 1

Data Analysis and Applications 1 PDF
Author: Christos H. Skiadas
Publisher: John Wiley & Sons
ISBN: 1119597579
Size: 38.68 MB
Format: PDF, Mobi
Category : Mathematics
Languages : en
Pages : 286
View: 5181

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This series of books collects a diverse array of work that provides the reader with theoretical and applied information on data analysis methods, models, and techniques, along with appropriate applications. Volume 1 begins with an introductory chapter by Gilbert Saporta, a leading expert in the field, who summarizes the developments in data analysis over the last 50 years. The book is then divided into three parts: Part 1 presents clustering and regression cases; Part 2 examines grouping and decomposition, GARCH and threshold models, structural equations, and SME modeling; and Part 3 presents symbolic data analysis, time series and multiple choice models, modeling in demography, and data mining.

Solar Euv Flux Data Analysis For Euvs Experiments On The Ae Satellites

Solar EUV Flux data Analysis for EUVS Experiments on the AE satellites PDF
Author: Bruce R. Gilson
Publisher:
ISBN:
Size: 69.62 MB
Format: PDF, Docs
Category : Solar radiation
Languages : en
Pages : 41
View: 1653

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One of two tasks that the Extreme Ultraviolet Spectrometers (EUVS) on-board the Atmosphere Explorer Satellites perform is flux analysis of the solar spectrum. This analysis deals with two types of data: fixed wavelength flux data and 'flux scan data'. Both types are created by programs accessing the basic daily EUVS data (one file per vehicle per day). Information on time variation in solar flux for longer periods is provided in two forms, one giving wavelength flux data and the other flux scan data. The latter covers the entire solar spectrum in the range 140 to 1850 A. (Author).

Data Analysis With R Second Edition

Data Analysis with R  Second Edition PDF
Author: Anthony Fischetti
Publisher: Packt Publishing Ltd
ISBN: 1788397339
Size: 23.78 MB
Format: PDF, Kindle
Category : Computers
Languages : en
Pages : 570
View: 4582

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Learn, by example, the fundamentals of data analysis as well as several intermediate to advanced methods and techniques ranging from classification and regression to Bayesian methods and MCMC, which can be put to immediate use. Key Features Analyze your data using R – the most powerful statistical programming language Learn how to implement applied statistics using practical use-cases Use popular R packages to work with unstructured and structured data Book Description Frequently the tool of choice for academics, R has spread deep into the private sector and can be found in the production pipelines at some of the most advanced and successful enterprises. The power and domain-specificity of R allows the user to express complex analytics easily, quickly, and succinctly. Starting with the basics of R and statistical reasoning, this book dives into advanced predictive analytics, showing how to apply those techniques to real-world data though with real-world examples. Packed with engaging problems and exercises, this book begins with a review of R and its syntax with packages like Rcpp, ggplot2, and dplyr. From there, get to grips with the fundamentals of applied statistics and build on this knowledge to perform sophisticated and powerful analytics. Solve the difficulties relating to performing data analysis in practice and find solutions to working with messy data, large data, communicating results, and facilitating reproducibility. This book is engineered to be an invaluable resource through many stages of anyone’s career as a data analyst. What you will learn Gain a thorough understanding of statistical reasoning and sampling theory Employ hypothesis testing to draw inferences from your data Learn Bayesian methods for estimating parameters Train regression, classification, and time series models Handle missing data gracefully using multiple imputation Identify and manage problematic data points Learn how to scale your analyses to larger data with Rcpp, data.table, dplyr, and parallelization Put best practices into effect to make your job easier and facilitate reproducibility Who this book is for Budding data scientists and data analysts who are new to the concept of data analysis, or who want to build efficient analytical models in R will find this book to be useful. No prior exposure to data analysis is needed, although a fundamental understanding of the R programming language is required to get the best out of this book.

Absorption Data Analysis For Euvs Experiment On The Satellites Ae C D And E

Absorption Data Analysis for EUVS Experiment on the Satellites AE C  D  and E PDF
Author: Les M. Chaikin
Publisher:
ISBN:
Size: 20.89 MB
Format: PDF
Category : Algorithms
Languages : en
Pages : 48
View: 919

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One of the two tasks that the Extreme Ultraviolet Spectrophotometers (EUVS) onboard the Atmosphere Explorer Satellites perform is absorption analysis of the thermosphere. The optical depth is derived from observations during parts of orbits including conditions of nearly negligible attenuation as reference. Details of two different approaches are described. The first one, used by the program LMC80, deals with certain standard optical depths only; the second one, used by the program LMC85, deals with time-ordered records of optical depths for input-controlled fixed steps in time.

Power Bi And Azure Applications

Power BI and Azure Applications PDF
Author: Suren Machiraju
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 1547400749
Size: 68.26 MB
Format: PDF
Category : BUSINESS & ECONOMICS
Languages : en
Pages : 287
View: 1157

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Power BI Data Analysis and Visualization provides a roadmap to vendor choices and highlights why Microsoft's Power BI is a very viable, cost effective option for data visualization. The book covers the fundamentals and most commonly used features of Power BI, but also includes an in-depth discussion of advanced Power BI features such as natural language queries; embedding Power BI dashboards; and live streaming data. It discusses real solutions to extract data from the ERP application, Microsoft Dynamics CRM, and also offers ways to host the Power BI Dashboard as an Azure application, extracting data from popular data sources like Microsoft SQL Server and open-source PostgreSQL. Authored by Microsoft experts, this book uses real-world coding samples and screenshots to spotlight how to create reports, embed them in a webpage, view them across multiple platforms, and more. Business owners, IT professionals, data scientists, and analysts will benefit from this thorough presentation of Power BI and its functions.