The punishment of crime, compensation of the injured, and the enforcement of contracts are merely some of the tasks of a modern legal system. It also strives to ensure justice, promote freedom, and protect our security. The result is a system that, while it touches all of our daily lives, is properly understood by only a few, with its impenetrable jargon, obsolete procedures, and interminable stream of Byzantine statutes and judgments of the courts. This clear, jargon-free Very Short Introduction cuts introduces the essentials of law and legal systems in a lively, accessible, and stimulating manner. Explaining the main concepts, terms, and processes of the legal system, it focuses on the Western tradition, but also examines other legal systems, such as customary law and Islamic law. And it looks to the future too, as globalization and rapid advances in technology place increasing strain on our current legal system.

    This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python.You'll work with a case study throughout the book to help you learn the entire data analysis process—from collecting data and generating statistics to identifying patterns and testing hypotheses. Along the way, you'll become familiar with distributions, the rules of probability, visualization, and many other tools and concepts.Develop your understanding of probability and statistics by writing and testing codeRun experiments to test statistical behavior, such as generating samples from several distributionsUse simulations to understand concepts that are hard to grasp mathematicallyLearn topics not usually covered in an introductory course, such as Bayesian estimationImport data from almost any source using Python, rather than be limited to data that has been cleaned and formatted for statistics toolsUse statistical inference to answer questions about real-world data

    Topics include the limits of knowledge, paradox of complexity, Maxwell's demon, Big Bang theory, much more. 1985 edition.

    Insights are drawn from psychology, neuroscience, genetics, epidemiology and clinical trials. Providing a fascinating illustration of the discussion are two interviews conducted specifically for the book, with the actor, writer and director Michael Palin and former England football manager Graham Taylor.

    Part intellectual journey, part memoir, Hamlet's BlackBerry sets out to solve what William Powers calls the conundrum of connectedness. Our computers and mobile devices do wonderful things for us. But they also impose an enormous burden, making it harder for us to focus, do our best work, build strong relationships, and find the depth and fulfillment we crave.Hamlet's BlackBerry argues that we need a new way of thinking, an everyday philosophy for life with screens. To find it, Powers reaches into the past, uncovering a rich trove of ideas that have helped people manage and enjoy their connected lives for thousands of years. New technologies have always brought the mix of excitement and stress that we feel today. Drawing on some of history's most brilliant thinkers, from Plato to Shakespeare to Thoreau, he shows that digital connectedness serves us best when it's balanced by its opposite, disconnectedness.Using his own life as laboratory and object lesson, Powers demonstrates why this is the moment to revisit our relationship to screens and mobile technologies, and how profound the rewards of doing so can be. Lively, original, and entertaining, Hamlet's BlackBerry will challenge you to rethink your digital life.

    Edited by the Sustainability Institute’s Diana Wright, this essential primer brings systems thinking out of the realm of computers and equations and into the tangible world, showing readers how to develop the systems-thinking skills that thought leaders across the globe consider critical for 21st-century life.Some of the biggest problems facing the world—war, hunger, poverty, and environmental degradation—are essentially system failures. They cannot be solved by fixing one piece in isolation from the others, because even seemingly minor details have enormous power to undermine the best efforts of too-narrow thinking.While readers will learn the conceptual tools and methods of systems thinking, the heart of the book is grander than methodology. Donella Meadows was known as much for nurturing positive outcomes as she was for delving into the science behind global dilemmas. She reminds readers to pay attention to what is important, not just what is quantifiable, to stay humble, and to stay a learner.In a world growing ever more complicated, crowded, and interdependent, Thinking in Systems helps readers avoid confusion and helplessness, the first step toward finding proactive and effective solutions.

    With it has come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It should be a valuable resource for statisticians and anyone interested in data mining in science or industry. The book's coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting—the first comprehensive treatment of this topic in any book. Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie wrote much of the statistical modeling software in S-PLUS and invented principal curves and surfaces. Tibshirani proposed the Lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, and projection pursuit.

    Why do we recognize patterns? Is there such a thing as positive stress? Are we genetically programmed to be in conflict with each other? Those are just some of the 150 questions that the world's best scientific minds answer with elegant simplicity.With contributions from Jared Diamond, Richard Dawkins, Nassim Taleb, Brian Eno, Steven Pinker, and more, everything is explained in fun, uncomplicated terms that make the most complex concepts easy to comprehend.

    In fact, says Ann M. Blair in this intriguing book, the invention of the printing press and the ensuing abundance of books provoked sixteenth- and seventeenth-century European scholars to register complaints very similar to our own. Blair examines methods of information management in ancient and medieval Europe as well as the Islamic world and China, then focuses particular attention on the organization, composition, and reception of Latin reference books in print in early modern Europe. She explores in detail the sophisticated and sometimes idiosyncratic techniques that scholars and readers developed in an era of new technology and exploding information.

    Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning.The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models.Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.

    The complexity of nature's shapes differs in kind, not merely degree, from that of the shapes of ordinary geometry, the geometry of fractal shapes.Now that the field has expanded greatly with many active researchers, Mandelbrot presents the definitive overview of the origins of his ideas and their new applications. The Fractal Geometry of Nature is based on his highly acclaimed earlier work, but has much broader and deeper coverage and more extensive illustrations.

    Mitchel Resnick's book is one of the very few in the field of computing with an interdisciplinary discourse that can reach beyond the technical community to philosophers, psychologists, and historians and sociologists of science." -- Sherry Turkle, Professor, Program in Science, Technology, and Society, Massachusetts Institute of Technology "Resnick's work provides a rare glimpse of what I am sure will become a new paradigm for research in education.

    In this richly illustrated book, accessible examples are used to show how information theory can be understood in terms of everyday games like '20 Questions', and the simple MatLab programs provided give hands-on experience of information theory in action. Written in a tutorial style, with a comprehensive glossary, this text represents an ideal primer for novices who wish to become familiar with the basic principles of information theory.Download chapter 1 from http://jim-stone.staff.shef.ac.uk/Boo...

    Max 'Vision' Butler was a white-hat hacker and a celebrity throughout the programming world, even serving as a consultant to the FBI. But there was another side to Max. As the black-hat 'Iceman', he'd seen the fraudsters around him squabble, their ranks riddled with infiltrators, their methods inefficient, and in their dysfunction was the ultimate challenge: he would stage a coup and steal their ill-gotten gains from right under their noses.Through the story of Max Butler's remarkable rise, KINGPIN lays bare the workings of a silent crime wave affecting millions worldwide. It exposes vast online-fraud supermarkets stocked with credit card numbers, counterfeit cheques, hacked bank accounts and fake passports. Thanks to Kevin Poulsen's remarkable access to both cops and criminals, we step inside the quiet,desperate battle that law enforcement fights against these scammers. And learn that the boy next door may not be all he seems.

    In The Blues, Wald surveys a genre at the heart of American culture.It is not an easy thing to pin down. As Howlin' Wolf once described it, "When you ain't got no money and can't pay your house rent and can't buy you no food, you've damn sure got the blues." It has been defined by lyrical structure, or as a progression of chords, or as a set of practices reflecting West African "tonal and rhythmic approaches," using a five-note "blues scale." Wald sees blues less as a style than as a broad musical tradition within a constantly evolving pop culture. He traces its roots in work and praise songs, and shows how it was transformed by such professional performers as W. C. Handy, who first popularized the blues a century ago. He follows its evolution from Ma Rainey and Bessie Smith through Bob Dylan and Jimi Hendrix; identifies the impact of rural field recordings of Blind Lemon Jefferson, Charley Patton and others; explores the role of blues in the development of both country music and jazz; and looks at the popular rhythm and blues trends of the 1940s and 1950s, from the uptown West Coast style of T-Bone Walker to the "down home" Chicago sound of Muddy Waters. Wald brings the story up to the present, touching on the effects of blues on American poetry, and its connection to modern styles such as rap.As with all of Oxford's Very Short Introductions, The Blues tells you--with insight, clarity, and wit--everything you need to know to understand this quintessentially American musical genre.