Exploratory Data Analysis With Matlab

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Exploratory Data Analysis With Matlab

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Author : Wendy L. Martinez
language : en
Publisher: CRC Press
Release Date : 2004-11-29

Exploratory Data Analysis With Matlab written by Wendy L. Martinez and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-11-29 with Business & Economics categories.

Exploratory data analysis (EDA) was conceived at a time when computers were not widely used, and thus computational ability was rather limited. As computational sophistication has increased, EDA has become an even more powerful process for visualizing and summarizing data before making model assumptions to generate hypotheses, encompassing larger and more complex data sets. There are many resources for those interested in the theory of EDA, but this is the first book to use MATLAB to illustrate the computational aspects of this discipline. Exploratory Data Analysis with MATLAB presents the methods of EDA from a computational perspective. The authors extensively use MATLAB code and algorithm descriptions to provide state-of-the-art techniques for finding patterns and structure in data. Addressing theory, they also incorporate many annotated references to direct readers to the more theoretical aspects of the methods. The book presents an approach using the basic functions from MATLAB and the MATLAB Statistics Toolbox, in order to be more accessible and enduring. It also contains pseudo-code to enable users of other software packages to implement the algorithms. This text places the tools needed to implement EDA theory at the fingertips of researchers, applied mathematicians, computer scientists, engineers, and statisticians by using a practical/computational approach.

Exploratory Data Analysis With Matlab

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Author : Wendy L. Martinez
language : en
Publisher: CRC Press
Release Date : 2017-08-07

Exploratory Data Analysis With Matlab written by Wendy L. Martinez and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-08-07 with Mathematics categories.

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

Exploratory Data Analysis With Matlab Second Edition

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Author : Wendy L. Martinez
language : en
Publisher: CRC Press
Release Date : 2010-12-16

Exploratory Data Analysis With Matlab Second Edition written by Wendy L. Martinez and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-12-16 with Business & Economics categories.

Since the publication of the bestselling first edition, many advances have been made in exploratory data analysis (EDA). Covering innovative approaches for dimensionality reduction, clustering, and visualization, Exploratory Data Analysis with MATLAB®, Second Edition uses numerous examples and applications to show how the methods are used in practice. New to the Second Edition Discussions of nonnegative matrix factorization, linear discriminant analysis, curvilinear component analysis, independent component analysis, and smoothing splines An expanded set of methods for estimating the intrinsic dimensionality of a data set Several clustering methods, including probabilistic latent semantic analysis and spectral-based clustering Additional visualization methods, such as a rangefinder boxplot, scatterplots with marginal histograms, biplots, and a new method called Andrews’ images Instructions on a free MATLAB GUI toolbox for EDA Like its predecessor, this edition continues to focus on using EDA methods, rather than theoretical aspects. The MATLAB codes for the examples, EDA toolboxes, data sets, and color versions of all figures are available for download at http://pi-sigma.info

Ai And Big Data A Synergistic Approach To Modern Challenges

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Author : Dr.Sudhakar.K
language : en
Publisher: Leilani Katie Publication
Release Date : 2024-11-26

Ai And Big Data A Synergistic Approach To Modern Challenges written by Dr.Sudhakar.K and has been published by Leilani Katie Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-26 with Computers categories.

Dr.Sudhakar.K, Associate Professor & Head, Department of Artificial Intelligence & Data Science, NITTE Meenakshi Institute of Technology, Bangalore, Karnataka, India. Mrs.Ashwini.T.N, Assistant Professor, Department of Computer Science and Engineering, Bangalore Institute of Technology, Bangalore, Karnataka, India. Mrs.Usha.M, Assistant Professor, Department of Computer Science and Engineering, East West Institute of Technology, Bangalore, Karnataka, India. Mrs.Shashikala.AB, Assistant Professor, Department of Artificial Intelligence & Machine Learning, SJB Institute of Technology, Bangalore, Karnataka, India.

Optimization Of Chemical Processes

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Author : José María Ponce-Ortega
language : en
Publisher: Springer Nature
Release Date : 2024-05-02

Optimization Of Chemical Processes written by José María Ponce-Ortega and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-02 with Technology & Engineering categories.

This textbook introduces readers to a comprehensive framework for the application of deterministic optimization strategies in the field of chemical processes, with a strong emphasis on sustainability. The book establishes a vital connection between fundamental deterministic optimization principles, optimization tools, and real-world application instances, all within the context of environmentally responsible practices. The approach put forth in this book is exceptionally versatile, allowing for the use of many optimization software and deterministic techniques. Contained in the book are many fundamental optimization concepts, encompassing linear programming, nonlinear programming, integer programming, and multi-objective optimization, all tailored to promote sustainable decision-making. Furthermore, the book provides practical examples illustrating the application of these techniques within sustainable chemical processes as tutorials. The textbook also explores the utilization of popular optimization software platforms such as GAMS, MATLAB, and Python, demonstrating how these tools can be leveraged for eco-friendly process optimization. Through this comprehensive framework, readers can not only acquire the skills needed to optimize a wide range of processes but also learn how to do so with sustainability at the forefront of their considerations. This approach streamlines the optimization process, eliminating unnecessary complications along the way and ensuring that environmental and ethical considerations are integral to the decision-making process.

Applied Numerical Methods With Matlab For Engineers And Scientists

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Author : Steven C. Chapra
language : en
Publisher: McGraw-Hill Science/Engineering/Math
Release Date : 2008

Applied Numerical Methods With Matlab For Engineers And Scientists written by Steven C. Chapra and has been published by McGraw-Hill Science/Engineering/Math this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Computers categories.

Still brief - but with the chapters that you wanted - Steven Chapra’s new second edition is written for engineering and science students who need to learn numerical problem solving. This text focuses on problem-solving applications rather than theory, using MATLAB throughout. Theory is introduced to inform key concepts which are framed in applications and demonstrated using MATLAB. The new second edition feature new chapters on Numerical Differentiation, Optimization, and Boundary-Value Problems (ODEs).

Journal Of The American Statistical Association

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Author :
language : en
Publisher:
Release Date : 2008

Journal Of The American Statistical Association written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Electronic journals categories.

Agricultural Biosystems And Biological Engineering Education

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Author : Umezuruike Linus Opara
language : en
Publisher: CRC Press
Release Date : 2024-09-30

Agricultural Biosystems And Biological Engineering Education written by Umezuruike Linus Opara and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-30 with Technology & Engineering categories.

Agricultural engineering, developed as an engineering discipline underpinned by physics, applies scientific principles, knowledge, and technological innovations in the agricultural and food industries. During the last century, there was exponential growth in engineering developments, which has improved human wellbeing and radically changed how humans interact with each other and our planet. Among these, “Agricultural Mechanization” is ranked among the top 10 in a list of 20 Top Engineering Achievements of the last century that have had the greatest impact on the quality of life. While many success stories abound, the problems of low appeal among students, identity crises, and limited job opportunities in many climes continue to trouble the discipline’s future in many parts of the world. Yet agriculture and agricultural engineering remain fundamental to assuring food and nutrition security for a growing global population. Agricultural, Biosystems, and Biological Engineering Education provides the first comprehensive global review and synthesis of different agricultural, biosystems, and biological engineering education approaches, including a detailed exposition of current practices from different regions. Key Features: Describes novel approaches to curriculum design and reform Outlines current and emerging epistemology and pedagogies in ABBE education Provides a framework to grow agricultural engineering in Africa and other developing regions Highlights the role of ABBE education in the context of the SDGs Presented in 3 parts and containing 42 chapters, this book covers the historical evolution of agricultural engineering education and discusses the emergence of biological and biosystems engineering education. It will appeal to engineers and other professionals, education planners and administrators, and policy makers in agriculture and other biological industries. Chapters 4, 11, 19, 32, and 41 of this book are freely available as a downloadable Open Access PDF at http://www.taylorfrancis.com under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 4.0 license.

Exploratory Analysis Of Data And Descriptive Statistics With Matlab

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Author : G. Peck
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2017-10-31

Exploratory Analysis Of Data And Descriptive Statistics With Matlab written by G. Peck and has been published by Createspace Independent Publishing Platform this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-31 with categories.

Statistics and Machine Learning Toolbox provides functions and apps to describe, analyze, and model data. You can use descriptive statistics and plots for exploratory data analysis, fit probability distributions to data, generate random numbers for Monte Carlo simulations, and perform hypothesis tests. Regression and classification algorithms let you draw inferences from data and build predictive models. For multidimensional data analysis, Statistics and Machine Learning Toolbox provides feature selection, stepwise regression, principal component analysis (PCA), regularization, and other dimensionality reduction methods that let you identify variables or features that impact your model. The toolbox provides supervised and unsupervised machine learning algorithms, including support vector machines (SVMs), boosted and bagged decision trees, k-nearest neighbor, k-means, k-medoids, hierarchical clustering, Gaussian mixture models, and hidden Markov models. Many of the statistics and machine learning algorithms can be used for computations on data sets that are too big to be stored in memory.. This book develops organizing data techniques, descriptive statistics, plots for exploratory data analysis, data visualization techniques and other exploratory techniques across examples using MATLAB.

Nag Foundation Toolbox For Use With Matlab

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Author : MathWorks, Inc
language : en
Publisher:
Release Date : 1995

Nag Foundation Toolbox For Use With Matlab written by MathWorks, Inc and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with MATLAB categories.