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Anbieter: GreatBookPrices, Columbia, MD, USA
Zustand: As New. Unread book in perfect condition.
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Hardcover. Third Edition. Octavo, 590 pages. In Very Good minus condition. Tan spine with black text. Boards have bumping to corners. Textblock clean. Shelved ND-E. 1377230. FP New Rockville Stock.
Zustand: New. 3rd edition NO-PA16APR2015-KAP.
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Anbieter: Biblios, Frankfurt am main, HESSE, Deutschland
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Sprache: Englisch
Verlag: Chapman and Hall/CRC July 2017, 2017
ISBN 10: 149877606X ISBN 13: 9781498776066
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Hardcover. Zustand: VG. used hardcover copy in illustrated boards, no jacket, as issued. light shelfwear, corners perhaps slightly bumped. pages and binding are clean, straight and tight. there are no marks to the text or other serious flaws.
Sprache: Englisch
Verlag: Taylor and Francis Ltd, GB, 2022
ISBN 10: 1032179058 ISBN 13: 9781032179056
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In den WarenkorbPaperback. Zustand: New. Praise for the Second Edition:"The authors present an intuitive and easy-to-read book. . accompanied by many examples, proposed exercises, good references, and comprehensive appendices that initiate the reader unfamiliar with MATLAB."-Adolfo Alvarez Pinto, International Statistical Review "Practitioners of EDA who use MATLAB will want a copy of this book. . The authors have done a great service by bringing together so many EDA routines, but their main accomplishment in this dynamic text is providing the understanding and tools to do EDA.-David A Huckaby, MAA ReviewsExploratory Data Analysis (EDA) is an important part of the data analysis process. The methods presented in this text are ones that should be in the toolkit of every data scientist. As computational sophistication has increased and data sets have grown in size and complexity, EDA has become an even more important process for visualizing and summarizing data before making assumptions to generate hypotheses and models. Exploratory Data Analysis with MATLAB, Third Edition presents EDA methods from a computational perspective and uses numerous examples and applications to show how the methods are used in practice. The authors use MATLAB code, pseudo-code, and algorithm descriptions to illustrate the concepts. The MATLAB code for examples, data sets, and the EDA Toolbox are available for download on the book's website.New to the Third Edition Random projections and estimating local intrinsic dimensionality Deep learning autoencoders and stochastic neighbor embedding Minimum spanning tree and additional cluster validity indices Kernel density estimation Plots for visualizing data distributions, such as beanplots and violin plots A chapter on visualizing categorical data.
Zustand: acceptable. Used - Acceptable: All pages and the cover are intact, but shrink wrap, dust covers, or boxed set case may be missing. Pages may include limited notes, highlighting, or minor water damage but the text is readable. Item may be missing bundled media.
Sprache: Englisch
Verlag: Chapman and Hall/CRC 2021-09-30, 2021
ISBN 10: 1032179058 ISBN 13: 9781032179056
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In den WarenkorbPaperback. Zustand: Brand New. 3rd edition. 590 pages. 9.19x6.13x1.42 inches. In Stock.
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In den WarenkorbPaperback. Zustand: Brand New. 3rd edition. 590 pages. 9.19x6.13x1.42 inches. In Stock.
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Sprache: Englisch
Verlag: Taylor and Francis Ltd, GB, 2022
ISBN 10: 1032179058 ISBN 13: 9781032179056
Anbieter: Rarewaves.com UK, London, Vereinigtes Königreich
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In den WarenkorbPaperback. Zustand: New. Praise for the Second Edition:"The authors present an intuitive and easy-to-read book. . accompanied by many examples, proposed exercises, good references, and comprehensive appendices that initiate the reader unfamiliar with MATLAB."-Adolfo Alvarez Pinto, International Statistical Review "Practitioners of EDA who use MATLAB will want a copy of this book. . The authors have done a great service by bringing together so many EDA routines, but their main accomplishment in this dynamic text is providing the understanding and tools to do EDA.-David A Huckaby, MAA ReviewsExploratory Data Analysis (EDA) is an important part of the data analysis process. The methods presented in this text are ones that should be in the toolkit of every data scientist. As computational sophistication has increased and data sets have grown in size and complexity, EDA has become an even more important process for visualizing and summarizing data before making assumptions to generate hypotheses and models. Exploratory Data Analysis with MATLAB, Third Edition presents EDA methods from a computational perspective and uses numerous examples and applications to show how the methods are used in practice. The authors use MATLAB code, pseudo-code, and algorithm descriptions to illustrate the concepts. The MATLAB code for examples, data sets, and the EDA Toolbox are available for download on the book's website.New to the Third Edition Random projections and estimating local intrinsic dimensionality Deep learning autoencoders and stochastic neighbor embedding Minimum spanning tree and additional cluster validity indices Kernel density estimation Plots for visualizing data distributions, such as beanplots and violin plots A chapter on visualizing categorical data.
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In den WarenkorbHardcover. Zustand: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Anbieter: Biblios, Frankfurt am main, HESSE, Deutschland
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