Exploratory Data Analysis With Matlab

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Exploratory Data Analysis with MATLAB

Wendy L. Martinez,Angel R. Martinez,Jeffrey Solka
Exploratory Data Analysis with MATLAB Book PDF

Author : Wendy L. Martinez,Angel R. Martinez,Jeffrey Solka
Publisher : CRC Press
Page : 686 pages
File Size : 45,7 Mb
Release : 2017-08-07
Category : Mathematics
ISBN : 9781315349848

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Exploratory Data Analysis with MATLAB by Wendy L. Martinez,Angel R. Martinez,Jeffrey Solka Pdf

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

Wendy L. Martinez,Angel R. Martinez,Jeffrey L. Solka
Exploratory Data Analysis with MATLAB Book PDF

Author : Wendy L. Martinez,Angel R. Martinez,Jeffrey L. Solka
Publisher : Chapman & Hall/CRC Computer Science & Data Analysis
Page : 590 pages
File Size : 46,5 Mb
Release : 2022-03-31
Category : Electronic
ISBN : 1032179058

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Exploratory Data Analysis with MATLAB by Wendy L. Martinez,Angel R. Martinez,Jeffrey L. Solka Pdf

This book describes the various methods used for exploratory data analysis with an emphasis on MATLAB implementation. It covers approaches for visualizing data, data tours and animations, clustering (or unsupervised learning), dimensionality reduction, and more. A set of graphical user interfaces allows users to apply the ideas to their own data.

Exploratory Data Analysis with MATLAB

Wendy L. Martinez,Angel R. Martinez,Jeffrey Solka,Angel Martinez
Exploratory Data Analysis with MATLAB Book PDF

Author : Wendy L. Martinez,Angel R. Martinez,Jeffrey Solka,Angel Martinez
Publisher : CRC Press
Page : 430 pages
File Size : 52,9 Mb
Release : 2004-11-29
Category : Business & Economics
ISBN : 9780203483374

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Exploratory Data Analysis with MATLAB by Wendy L. Martinez,Angel R. Martinez,Jeffrey Solka,Angel Martinez Pdf

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 a

Exploratory Data Analysis with MATLAB

Wendy L. Martinez,Angel R. Martinez,Jeffrey Solka,Angel Martinez
Exploratory Data Analysis with MATLAB Book PDF

Author : Wendy L. Martinez,Angel R. Martinez,Jeffrey Solka,Angel Martinez
Publisher : CRC Press
Page : 525 pages
File Size : 40,9 Mb
Release : 2010-12-16
Category : Business & Economics
ISBN : 9781439812211

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Exploratory Data Analysis with MATLAB by Wendy L. Martinez,Angel R. Martinez,Jeffrey Solka,Angel Martinez Pdf

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

Computational Statistics Handbook with MATLAB

Wendy L. Martinez,Angel R. Martinez
Computational Statistics Handbook with MATLAB Book PDF

Author : Wendy L. Martinez,Angel R. Martinez
Publisher : CRC Press
Page : 792 pages
File Size : 55,7 Mb
Release : 2007-12-20
Category : Mathematics
ISBN : 9781420010862

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Computational Statistics Handbook with MATLAB by Wendy L. Martinez,Angel R. Martinez Pdf

As with the bestselling first edition, Computational Statistics Handbook with MATLAB, Second Edition covers some of the most commonly used contemporary techniques in computational statistics. With a strong, practical focus on implementing the methods, the authors include algorithmic descriptions of the procedures as well as

Exploratory Data Analysis with MATLAB, Second Edition

Wendy L. Martinez,Angel Martinez,Jeffrey Solka
Exploratory Data Analysis with MATLAB Second Edition Book PDF

Author : Wendy L. Martinez,Angel Martinez,Jeffrey Solka
Publisher : CRC Press
Page : 536 pages
File Size : 50,8 Mb
Release : 2010-12-16
Category : Business & Economics
ISBN : 1439812209

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Exploratory Data Analysis with MATLAB, Second Edition by Wendy L. Martinez,Angel Martinez,Jeffrey Solka Pdf

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

MATLAB for Machine Learning

Giuseppe Ciaburro
MATLAB for Machine Learning Book PDF

Author : Giuseppe Ciaburro
Publisher : Packt Publishing Ltd
Page : 374 pages
File Size : 47,8 Mb
Release : 2017-08-28
Category : Computers
ISBN : 9781788399395

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MATLAB for Machine Learning by Giuseppe Ciaburro Pdf

Extract patterns and knowledge from your data in easy way using MATLAB About This Book Get your first steps into machine learning with the help of this easy-to-follow guide Learn regression, clustering, classification, predictive analytics, artificial neural networks and more with MATLAB Understand how your data works and identify hidden layers in the data with the power of machine learning. Who This Book Is For This book is for data analysts, data scientists, students, or anyone who is looking to get started with machine learning and want to build efficient data processing and predicting applications. A mathematical and statistical background will really help in following this book well. What You Will Learn Learn the introductory concepts of machine learning. Discover different ways to transform data using SAS XPORT, import and export tools, Explore the different types of regression techniques such as simple & multiple linear regression, ordinary least squares estimation, correlations and how to apply them to your data. Discover the basics of classification methods and how to implement Naive Bayes algorithm and Decision Trees in the Matlab environment. Uncover how to use clustering methods like hierarchical clustering to grouping data using the similarity measures. Know how to perform data fitting, pattern recognition, and clustering analysis with the help of MATLAB Neural Network Toolbox. Learn feature selection and extraction for dimensionality reduction leading to improved performance. In Detail MATLAB is the language of choice for many researchers and mathematics experts for machine learning. This book will help you build a foundation in machine learning using MATLAB for beginners. You'll start by getting your system ready with t he MATLAB environment for machine learning and you'll see how to easily interact with the Matlab workspace. We'll then move on to data cleansing, mining and analyzing various data types in machine learning and you'll see how to display data values on a plot. Next, you'll get to know about the different types of regression techniques and how to apply them to your data using the MATLAB functions. You'll understand the basic concepts of neural networks and perform data fitting, pattern recognition, and clustering analysis. Finally, you'll explore feature selection and extraction techniques for dimensionality reduction for performance improvement. At the end of the book, you will learn to put it all together into real-world cases covering major machine learning algorithms and be comfortable in performing machine learning with MATLAB. Style and approach The book takes a very comprehensive approach to enhance your understanding of machine learning using MATLAB. Sufficient real-world examples and use cases are included in the book to help you grasp the concepts quickly and apply them easily in your day-to-day work.

Data Analysis in Sport

Peter O'Donoghue,Lucy Holmes
Data Analysis in Sport Book PDF

Author : Peter O'Donoghue,Lucy Holmes
Publisher : Routledge
Page : 237 pages
File Size : 53,7 Mb
Release : 2014-10-24
Category : Medical
ISBN : 9781317810377

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Data Analysis in Sport by Peter O'Donoghue,Lucy Holmes Pdf

Making sense of sports performance data can be a challenging task but is nevertheless an essential part of performance analysis investigations. Focusing on techniques used in the analysis of sport performance, this book introduces the fundamental principles of data analysis, explores the most important tools used in data analysis, and offers guidance on the presentation of results. The book covers key topics such as: The purpose of data analysis, from statistical analysis to algorithmic processing Commercial packages for performance and data analysis, including Focus, Sportscode, Dartfish, Prozone, Excel, SPSS and Matlab Effective use of statistical procedures in sport performance analysis Analysing data from manual notation systems, player tracking systems and computerized match analysis systems Creating visually appealing ‘dashboard’ interfaces for presenting data Assessing reliability. The book includes worked examples from real sport, offering clear guidance to the reader and bringing the subject to life. This book is invaluable reading for any student, researcher or analyst working in sport performance or undertaking a sport-related research project or methods course

Secondary Analysis of Electronic Health Records

MIT Critical Data
Secondary Analysis of Electronic Health Records Book PDF

Author : MIT Critical Data
Publisher : Springer
Page : 427 pages
File Size : 54,7 Mb
Release : 2016-09-09
Category : Medical
ISBN : 9783319437422

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Secondary Analysis of Electronic Health Records by MIT Critical Data Pdf

This book trains the next generation of scientists representing different disciplines to leverage the data generated during routine patient care. It formulates a more complete lexicon of evidence-based recommendations and support shared, ethical decision making by doctors with their patients. Diagnostic and therapeutic technologies continue to evolve rapidly, and both individual practitioners and clinical teams face increasingly complex ethical decisions. Unfortunately, the current state of medical knowledge does not provide the guidance to make the majority of clinical decisions on the basis of evidence. The present research infrastructure is inefficient and frequently produces unreliable results that cannot be replicated. Even randomized controlled trials (RCTs), the traditional gold standards of the research reliability hierarchy, are not without limitations. They can be costly, labor intensive, and slow, and can return results that are seldom generalizable to every patient population. Furthermore, many pertinent but unresolved clinical and medical systems issues do not seem to have attracted the interest of the research enterprise, which has come to focus instead on cellular and molecular investigations and single-agent (e.g., a drug or device) effects. For clinicians, the end result is a bit of a “data desert” when it comes to making decisions. The new research infrastructure proposed in this book will help the medical profession to make ethically sound and well informed decisions for their patients.

Computational Statistics Handbook with MATLAB

Wendy L. Martinez,Angel R. Martinez
Computational Statistics Handbook with MATLAB Book PDF

Author : Wendy L. Martinez,Angel R. Martinez
Publisher : CRC Press
Page : 611 pages
File Size : 47,9 Mb
Release : 2001-09-26
Category : Mathematics
ISBN : 9781420035636

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Computational Statistics Handbook with MATLAB by Wendy L. Martinez,Angel R. Martinez Pdf

Approaching computational statistics through its theoretical aspects can be daunting. Often intimidated or distracted by the theory, researchers and students can lose sight of the actual goals and applications of the subject. What they need are its key concepts, an understanding of its methods, experience with its implementation, and practice with

Statistics in MATLAB

MoonJung Cho,Wendy L. Martinez
Statistics in MATLAB Book PDF

Author : MoonJung Cho,Wendy L. Martinez
Publisher : CRC Press
Page : 286 pages
File Size : 42,5 Mb
Release : 2014-12-15
Category : Business & Economics
ISBN : 9781466596573

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Statistics in MATLAB by MoonJung Cho,Wendy L. Martinez Pdf

Fulfilling the need for a practical user's guide, Statistics in MATLAB: A Primer provides an accessible introduction to the latest version of MATLAB and its extensive functionality for statistics. Assuming a basic knowledge of statistics and probability as well as a fundamental understanding of linear algebra concepts, this book:Covers capabilities

Computational Finance

Francesco Cesarone
Computational Finance Book PDF

Author : Francesco Cesarone
Publisher : Routledge
Page : 284 pages
File Size : 45,5 Mb
Release : 2020-06-11
Category : Business & Economics
ISBN : 9781000169034

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Computational Finance by Francesco Cesarone Pdf

Computational finance is increasingly important in the financial industry, as a necessary instrument for applying theoretical models to real-world challenges. Indeed, many models used in practice involve complex mathematical problems, for which an exact or a closed-form solution is not available. Consequently, we need to rely on computational techniques and specific numerical algorithms. This book combines theoretical concepts with practical implementation. Furthermore, the numerical solution of models is exploited, both to enhance the understanding of some mathematical and statistical notions, and to acquire sound programming skills in MATLAB®, which is useful for several other programming languages also. The material assumes the reader has a relatively limited knowledge of mathematics, probability, and statistics. Hence, the book contains a short description of the fundamental tools needed to address the two main fields of quantitative finance: portfolio selection and derivatives pricing. Both fields are developed here, with a particular emphasis on portfolio selection, where the author includes an overview of recent approaches. The book gradually takes the reader from a basic to medium level of expertise by using examples and exercises to simplify the understanding of complex models in finance, giving them the ability to place financial models in a computational setting. The book is ideal for courses focusing on quantitative finance, asset management, mathematical methods for economics and finance, investment banking, and corporate finance.

Functional Data Analysis with R and MATLAB

James Ramsay,Giles Hooker,Spencer Graves
Functional Data Analysis with R and MATLAB Book PDF

Author : James Ramsay,Giles Hooker,Spencer Graves
Publisher : Springer Science & Business Media
Page : 213 pages
File Size : 49,9 Mb
Release : 2009-06-29
Category : Computers
ISBN : 9780387981857

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Functional Data Analysis with R and MATLAB by James Ramsay,Giles Hooker,Spencer Graves Pdf

The book provides an application-oriented overview of functional analysis, with extended and accessible presentations of key concepts such as spline basis functions, data smoothing, curve registration, functional linear models and dynamic systems Functional data analysis is put to work in a wide a range of applications, so that new problems are likely to find close analogues in this book The code in R and Matlab in the book has been designed to permit easy modification to adapt to new data structures and research problems

Multi-Sensor Data Fusion with MATLAB

Jitendra R. Raol
Multi Sensor Data Fusion with MATLAB Book PDF

Author : Jitendra R. Raol
Publisher : CRC Press
Page : 570 pages
File Size : 53,9 Mb
Release : 2009-12-16
Category : Technology & Engineering
ISBN : 9781439800058

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Multi-Sensor Data Fusion with MATLAB by Jitendra R. Raol Pdf

Using MATLAB examples wherever possible, Multi-Sensor Data Fusion with MATLAB explores the three levels of multi-sensor data fusion (MSDF): kinematic-level fusion, including the theory of DF; fuzzy logic and decision fusion; and pixel- and feature-level image fusion. The authors elucidate DF strategies, algorithms, and performance evaluation mainly

A Step-by-Step Guide to Exploratory Factor Analysis with R and RStudio

Marley W. Watkins
A Step by Step Guide to Exploratory Factor Analysis with R and RStudio Book PDF

Author : Marley W. Watkins
Publisher : Routledge
Page : 227 pages
File Size : 45,7 Mb
Release : 2020-12-30
Category : Psychology
ISBN : 9781000336825

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A Step-by-Step Guide to Exploratory Factor Analysis with R and RStudio by Marley W. Watkins Pdf

This is a concise, easy to use, step-by-step guide for applied researchers conducting exploratory factor analysis (EFA) using the open source software R. In this book, Dr. Watkins systematically reviews each decision step in EFA with screen shots of R and RStudio code, and recommends evidence-based best practice procedures. This is an eminently applied, practical approach with few or no formulas and is aimed at readers with little to no mathematical background. Dr. Watkins maintains an accessible tone throughout and uses minimal jargon and formula to help facilitate grasp of the key issues users will face while applying EFA, along with how to implement, interpret, and report results. Copious scholarly references and quotations are included to support the reader in responding to editorial reviews. This is a valuable resource for upper-level undergraduate and postgraduate students, as well as for more experienced researchers undertaking multivariate or structure equation modeling courses across the behavioral, medical, and social sciences.