Data Analysis Machine Learning And Applications

Data Analysis  Machine Learning and Applications PDF
Author: Christine Preisach
Publisher: Springer Science & Business Media
Category : Computers
Languages : en
Pages : 719
View: 651

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Book Description:
Data analysis and machine learning are research areas at the intersection of computer science, artificial intelligence, mathematics and statistics. They cover general methods and techniques that can be applied to a vast set of applications such as web and text mining, marketing, medical science, bioinformatics and business intelligence. This volume contains the revised versions of selected papers in the field of data analysis, machine learning and applications presented during the 31st Annual Conference of the German Classification Society (Gesellschaft für Klassifikation - GfKl). The conference was held at the Albert-Ludwigs-University in Freiburg, Germany, in March 2007.


Data Analysis

Data Analysis PDF
Author: Siegmund Brandt
Publisher: Springer Science & Business Media
Category : Science
Languages : en
Pages : 523
View: 5464

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Book Description:
The fourth edition of this successful textbook presents a comprehensive introduction to statistical and numerical methods for the evaluation of empirical and experimental data. Equal weight is given to statistical theory and practical problems. The concise mathematical treatment of the subject matter is illustrated by many examples and for the present edition a library of Java programs has been developed. It comprises methods of numerical data analysis and graphical representation as well as many example programs and solutions to programming problems. The book is conceived both as an introduction and as a work of reference. In particular it addresses itself to students, scientists and practitioners in science and engineering as a help in the analysis of their data in laboratory courses, in working for bachelor or master degrees, in thesis work, and in research and professional work.


Qualitative Data Analysis

Qualitative Data Analysis PDF
Author: Matthew B. Miles
Publisher: SAGE
Category : Education
Languages : en
Pages : 381
View: 4977

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Book Description:
The Third Edition of Miles & Huberman's classic research methods text is updated and streamlined by Johnny Saldaña, author of The Coding Manual for Qualitative Researchers. Several of the data display strategies from previous editions are now presented in re-envisioned and reorganized formats to enhance reader accessibility and comprehension. The Third Edition’s presentation of the fundamentals of research design and data management is followed by five distinct methods of analysis: exploring, describing, ordering, explaining, and predicting. Miles and Huberman's original research studies are profiled and accompanied with new examples from Saldaña's recent qualitative work. The book's most celebrated chapter, "Drawing and Verifying Conclusions," is retained and revised, and the chapter on report writing has been greatly expanded, and is now called “Writing About Qualitative Research.” Comprehensive and authoritative, Qualitative Data Analysis has been elegantly revised for a new generation of qualitative researchers.


Python For Data Analysis

Python for Data Analysis PDF
Author: Wes McKinney
Publisher: "O'Reilly Media, Inc."
Category : Computers
Languages : en
Pages : 452
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Book Description:
Presents case studies and instructions on how to solve data analysis problems using Python.


Graphical Methods For Data Analysis

Graphical Methods for Data Analysis PDF
Author: J. M. Chambers
Publisher: CRC Press
Category : Mathematics
Languages : en
Pages : 410
View: 1786

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Book Description:
This book present graphical methods for analysing data. Some methods are new and some are old, some require a computer and others only paper and pencil; but they are all powerful data analysis tools. In many situations, a set of data even a large set- can be adequately analysed through graphical methods alone. In most other situations, a few well-chosen graphical displays can significantly enhance numerical statistical analyses.


Data Analytics

Data Analytics PDF
Author: Thomas A. Runkler
Publisher: Springer Nature
Category :
Languages : en
Pages :
View: 2372

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Functional Data Analysis

Functional Data Analysis PDF
Author: James Ramsay
Publisher: Springer Science & Business Media
Category : Mathematics
Languages : en
Pages : 428
View: 3891

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Book Description:
This is the second edition of a highly succesful book which has sold nearly 3000 copies world wide since its publication in 1997. Many chapters will be rewritten and expanded due to a lot of progress in these areas since the publication of the first edition. Bernard Silverman is the author of two other books, each of which has lifetime sales of more than 4000 copies. He has a great reputation both as a researcher and an author. This is likely to be the bestselling book in the Springer Series in Statistics for a couple of years.


Data Analysis

Data Analysis PDF
Author: Michael Lewis-Beck
Publisher: SAGE
Category : Medical
Languages : en
Pages : 77
View: 6467

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Book Description:
This accessible introduction to data analysis focuses on the interpretation of statistical results, in particular those which come from nonexperimental social research. It will provide social science researchers with the tools necessary to select and evaluate statistical tests appropriate for their research question. Using a consistent data-set throughout the book to illustrate the various analytic techniques, Michael Lewis-Beck covers topics such as univariate statistics, measures of association, the statistical significance of the relationship between two variables, simple regression in which the dependent variable is influenced by a single independent variable, and multiple regression.


Survival Models And Data Analysis

Survival Models and Data Analysis PDF
Author: Regina C. Elandt-Johnson
Publisher: John Wiley & Sons
Category : Mathematics
Languages : en
Pages : 457
View: 1816

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Book Description:
Survival analysis deals with the distribution of life times, essentially the times from an initiating event such as birth or the start of a job to some terminal event such as death or pension. This book, originally published in 1980, surveys and analyzes methods that use survival measurements and concepts, and helps readers apply the appropriate method for a given situation. Four broad sections cover introductions to data, univariate survival function, multiple-failure data, and advanced topics.


Data Analysis

Data Analysis PDF
Author: D. S. Sivia
Publisher: Oxford University Press
Category : Science
Languages : en
Pages : 189
View: 2866

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Book Description:
Statistics lectures have often been viewed with trepidation by engineering and science students taking an ancillary course in this subject. Whereas there are many texts showing "how" statistical methods are applied, few provide a clear explanation for non-statisticians of how the principlesof data analysis can be based on probability theory. Data Analysis: A Bayesian Tutorial provides such a text, putting emphasis as much on understanding "why" and "when" certain statistical procedures should be used as "how". This difference in approach makes the text ideal as a tutorial guide forsenior undergraduates and research students, in science and engineering. After explaining the basic principles of Bayesian probability theory, their use is illustrated with a variety of examples ranging from elementary parameter estimation to image processing. With its central emphasis on a fewfundamental rules, this book takes the mystery out of statistics by providing a clear rationale for some of the most widely-used procedures.