Author:
Publisher:
ISBN:
Category : Electronic books
Languages : en
Pages : 378
Book Description
Applied Computational Geometry
Author:
Publisher:
ISBN:
Category : Electronic books
Languages : en
Pages : 378
Book Description
Publisher:
ISBN:
Category : Electronic books
Languages : en
Pages : 378
Book Description
Applied Computational Geometry - Toward Geometric Engineering - FCRC '96, PA, May 27-28, 1996, Selected Papers
Author: Ming C. Lin
Publisher:
ISBN:
Category :
Languages : it
Pages : 222
Book Description
Publisher:
ISBN:
Category :
Languages : it
Pages : 222
Book Description
Applied Computational Geometry. Towards Geometric Engineering
Author: Ming C. Lin
Publisher: Springer Science & Business Media
ISBN: 9783540617853
Category : Computers
Languages : en
Pages : 244
Book Description
Content Description #Anthology selected from contributions to the First ACM Workshop on Applied Computational Geometry.#Includes bibliographical references and index.
Publisher: Springer Science & Business Media
ISBN: 9783540617853
Category : Computers
Languages : en
Pages : 244
Book Description
Content Description #Anthology selected from contributions to the First ACM Workshop on Applied Computational Geometry.#Includes bibliographical references and index.
Advances in Mathematical Sciences and Applications
Author:
Publisher:
ISBN:
Category : Mathematical analysis
Languages : en
Pages : 748
Book Description
Publisher:
ISBN:
Category : Mathematical analysis
Languages : en
Pages : 748
Book Description
Whitaker's Books in Print
Author:
Publisher:
ISBN:
Category : Bibliography, National
Languages : en
Pages : 2954
Book Description
Publisher:
ISBN:
Category : Bibliography, National
Languages : en
Pages : 2954
Book Description
American Book Publishing Record
Author:
Publisher:
ISBN:
Category : American literature
Languages : en
Pages : 1110
Book Description
Publisher:
ISBN:
Category : American literature
Languages : en
Pages : 1110
Book Description
Electrical & Electronics Abstracts
Author:
Publisher:
ISBN:
Category : Electrical engineering
Languages : en
Pages : 1948
Book Description
Publisher:
ISBN:
Category : Electrical engineering
Languages : en
Pages : 1948
Book Description
Forthcoming Books
Author: Rose Arny
Publisher:
ISBN:
Category : American literature
Languages : en
Pages : 2218
Book Description
Publisher:
ISBN:
Category : American literature
Languages : en
Pages : 2218
Book Description
German books in print
Author:
Publisher:
ISBN:
Category : German literature
Languages : de
Pages : 1596
Book Description
Publisher:
ISBN:
Category : German literature
Languages : de
Pages : 1596
Book Description
Exploratory Data Analysis with MATLAB
Author: Wendy L. Martinez
Publisher: CRC Press
ISBN: 1315349841
Category : Mathematics
Languages : en
Pages : 589
Book Description
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 Reviews Exploratory 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
Publisher: CRC Press
ISBN: 1315349841
Category : Mathematics
Languages : en
Pages : 589
Book Description
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 Reviews Exploratory 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