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

A Strong Practical Focus on Applications and AlgorithmsComputational Statistics Handbook with MATLAB (R), Third Edition covers today's most commonly used techniques in computational statistics while maintaining the same philosophy and writing style of the bestselling previous editions. The text keeps theoretical concepts to a minimum, emphasizing the implementation of the methods. New to the Third EditionThis third edition is updated with the latest version of MATLAB and the corresponding version of the Statistics and Machine Learning Toolbox. It also incorporates new sections on the nearest neighbor classifier, support vector machines, model checking and regularization, partial least squares regression, and multivariate adaptive regression splines. Web ResourceThe authors include algorithmic descriptions of the procedures as well as examples that illustrate the use of algorithms in data analysis. The MATLAB code, examples, and data sets are available online.

There's no doubt about it, London has always attracted a better class of royal killer. But just how bloody were they? Among other favorite royal baddies, in this book you'll find Henry VIII--Husband from Hell, or just a man with a big heart?; Richard III--Murdering uncle or misunderstood softie?; Elizabeth I--Vengeful harpie or brilliant babe?; King John--Rotten ruler or just a shortie with a height complex? With body counts and torture tallies for each king and queen, you can decide for yourselves which one was the capital's most murderous monarch.

Do you ever hear adults talking about the good old days, when the streets of London were safe? Well, for most of its history, London's streets have probably been among the most dangerous in the world. In the good old days you could hardly go out of your 30-bedroom house without a highwayman demanding your money or your life. In this book, discover the truth about Dick Turpin; how to be a successful highwaymen; and which king liked to dress up as a bandit. Read about the larger-than-life characters who hoofed it on London's roads, including: the highwayman who swapped his horse for some ice skates; the handsome thief who became every lady's choice of robber; and a pipe-smoking lady called Moll. Take yourself back to the days when Hyde Park was humming with highwaymen and a chap on a horse with a mask could make a dishonest living robbing from the rich. Take yourself back to the days when the streets of London hummed with the hooves of highwaymen's horses and the melodic sound of "Stand and deliver!".

How would you spot a witch or a wizard? And how exactly would you describe one? Do they all wear pointy hats, use wands, and sport pointy beards, or are they more difficult to detect? Are they simply misguided hippies or do they really exist? Make up your own mind as you read about London's witching times, including stories about the real Philosopher's Stone, Elizabeth I's favorite wizard, the witch-hunting craze that swept Britain, and how being a lonely old lady with a fondness for pets could be your undoing.

A Strong Practical Focus on Applications and AlgorithmsComputational Statistics Handbook with MATLAB (R), Third Edition covers today's most commonly used techniques in computational statistics while maintaining the same philosophy and writing style of the bestselling previous editions. The text keeps theoretical concepts to a minimum, emphasizing the implementation of the methods. New to the Third EditionThis third edition is updated with the latest version of MATLAB and the corresponding version of the Statistics and Machine Learning Toolbox. It also incorporates new sections on the nearest neighbor classifier, support vector machines, model checking and regularization, partial least squares regression, and multivariate adaptive regression splines. Web ResourceThe authors include algorithmic descriptions of the procedures as well as examples that illustrate the use of algorithms in data analysis. The MATLAB code, examples, and data sets are available online.

This work proposes a complete sensor-independent visual system that provides robust target motion detection. First, the way sensors obtain images, in terms of resolution distribution and pixel neighbourhood, is studied. This allows a spatial analysis of motion to be carried out. Then, a novel background maintenance approach for robust target motion detection is implemented. Two different situations are considered: a fixed camera observing a constant background where objects are moving; and a still camera observing objects in movement within a dynamic background. This distinction lies on developing a surveillance mechanism without the constraint of observing a scene free of foreground elements for several seconds when a reliable initial background model is obtained, as that situation cannot be guaranteed when a robotic system works in an unknown environment. Other problems are also addressed to successfully deal with changes in illumination, and the distinction between foreground and background elements.

Desde el empleo de gases asfixiantes en el Rif y la implantacion de las redes de espionaje aleman en Espana, a las actividades nazis contra los aliados; desde la cooperacion naval hispano-alemana a la reventa de la patente del fusil Cetme, esta obra ofrece una panoramica de las relaciones bilaterales basicas entre Espana.

From the dark and dangerous alleys of Tudor London to the busy streets of today's city, spies have always found plenty of work. In this book, you can read about how the Gunpowder Plot was uncovered, who the highest-ever paid spy was, Elizabeth I's wily spymaster Sir Francis Walsingham, the code-cracking boffins of World War II, and the real James Bond.

If you're a king or a queen, there's nothing quite like thinking up the most hideous form of execution for a traitor. What you want is a good plot against one's royal self, followed by instruments of extreme torture, topped off by a beheading or possibly some hanging, drawing, and quartering. London has played host to many traitors to the Crown--some bad, some perhaps not so bad--as well as rebels and turncoats who had to break the laws of their day to get a better life. Read, amongst many stories of rebellion, about the Gunpowder Plot, the execution of Charles I, the dim duke and his rubbish plots to seize the throne, the conspiracies against Elizabeth I, the grandmother of Girl Power, and the riots for the right to vote.

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