Statistical Learning and Data Sciences, Alexander Gammerman; Vladimir Vovk; Harris Papadop

Автор: Timothy J. Brown; Paul W. Mielke Jr.
Название: Statistical Mining and Data Visualization in Atmospheric Sciences
ISBN: 1441949747 ISBN-13(EAN): 9781441949745
Издательство: Springer
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Описание: Statistical Mining and Data Visualization in Atmospheric Sciences brings together in one place important contributions and up-to-date research results in this fast moving area.

Автор: Unwin
Название: Graphical Data Analysis with R
ISBN: 1498715230 ISBN-13(EAN): 9781498715232
Издательство: Taylor&Francis
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Цена: 11482.00 р.
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Описание:

See How Graphics Reveal Information

Graphical Data Analysis with R shows you what information you can gain from graphical displays. The book focuses on why you draw graphics to display data and which graphics to draw (and uses R to do so). All the datasets are available in R or one of its packages and the R code is available at rosuda.org/GDA.

Graphical data analysis is useful for data cleaning, exploring data structure, detecting outliers and unusual groups, identifying trends and clusters, spotting local patterns, evaluating modelling output, and presenting results. This book guides you in choosing graphics and understanding what information you can glean from them. It can be used as a primary text in a graphical data analysis course or as a supplement in a statistics course. Colour graphics are used throughout.

Автор: Bradley Efron and Trevor Hastie
Название: Computer Age Statistical Inference
ISBN: 1107149894 ISBN-13(EAN): 9781107149892
Издательство: Cambridge Academ
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Описание: The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data science', and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? This book takes us on an exhilarating journey through the revolution in data analysis following the introduction of electronic computation in the 1950s. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian - individual chapters take up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov chain Monte Carlo, inference after model selection, and dozens more. The distinctly modern approach integrates methodology and algorithms with statistical inference. The book ends with speculation on the future direction of statistics and data science.

Автор: Alexander Mehler; Kai-Uwe K?hnberger; Henning Lobi
Название: Modeling, Learning, and Processing of Text-Technological Data Structures
ISBN: 3642269443 ISBN-13(EAN): 9783642269448
Издательство: Springer
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Цена: 23508.00 р.
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Описание: Researchers in many disciplines have been concerned with modeling textual data in order to account for texts as the primary information unit of written communication.

Название: Mathematical-statistical models and qualitative theories for economic and social sciences
ISBN: 3319548182 ISBN-13(EAN): 9783319548180
Издательство: Springer
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Цена: 20962.00 р.
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Описание: This book presents a broad spectrum of problems related to statistics, mathematics, teaching, social science, and economics as well as a range of tools and techniques that can be used to solve these problems.

Автор: Ke-Lin Du; M. N. S. Swamy
Название: Neural Networks and Statistical Learning
ISBN: 1447170474 ISBN-13(EAN): 9781447170471
Издательство: Springer
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Цена: 14365.00 р.
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Описание: Inclusive coverage of all the essential neural network applications in a statistical learning framework makes this a baseline text for students and researchers, with 25 chapters on all the major approaches that include a wealth of examples and exercises.

Автор: Frank Emmert-Streib; Matthias Dehmer
Название: Information Theory and Statistical Learning
ISBN: 0387848150 ISBN-13(EAN): 9780387848150
Издательство: Springer
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Цена: 18167.00 р.
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Описание: This interdisciplinary text offers theoretical and practical results of information theoretic methods used in statistical learning. It presents a comprehensive overview of the many different methods that have been developed in numerous contexts.

Автор: Frank Emmert-Streib; Matthias Dehmer
Название: Information Theory and Statistical Learning
ISBN: 1441946500 ISBN-13(EAN): 9781441946508
Издательство: Springer
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Цена: 18167.00 р.
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Описание: This interdisciplinary text offers theoretical and practical results of information theoretic methods used in statistical learning. It presents a comprehensive overview of the many different methods that have been developed in numerous contexts.

Автор: Yixin Chen; Jia Li; James Z. Wang
Название: Machine Learning and Statistical Modeling Approaches to Image Retrieval
ISBN: 1475779305 ISBN-13(EAN): 9781475779301
Издательство: Springer
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Цена: 13974.00 р.
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Описание: Machine Learning and Statistical Modeling Approaches to Image Retrieval describes several approaches of integrating machine learning and statistical modeling into an image retrieval and indexing system that demonstrates promising results.

Автор: Terence Andre
Название: Advances in Human Factors in Training, Education, and Learning Sciences
ISBN: 3319600176 ISBN-13(EAN): 9783319600178
Издательство: Springer
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Цена: 22359.00 р.
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Автор: Bon K. Sy; Arjun K. Gupta
Название: Information-Statistical Data Mining
ISBN: 1461347556 ISBN-13(EAN): 9781461347552
Издательство: Springer
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Цена: 16769.00 р.
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Описание: Information-Statistical Data Mining: Warehouse Integration with Examples of Oracle Basics is written to introduce basic concepts, advanced research techniques, and practical solutions of data warehousing and data mining for hosting large data sets and EDA.

Автор: Carlo Bertoluzza; Maria A. Gil; Dan A. Ralescu
Название: Statistical Modeling, Analysis and Management of Fuzzy Data
ISBN: 3790825018 ISBN-13(EAN): 9783790825015
Издательство: Springer
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Цена: 23058.00 р.
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Описание: The contributions in this book state the complementary rather than competitive relationship between Probability and Fuzzy Set Theory and allow solutions to real life problems with suitable combinations of both theories.