This book examines the reasons for those views, and explains why ideologies deserve respect as a major form of political thinking. It investigates the centrality of ideologyboth as a political phenomenon and as an organizing framework of political thought and action. It explores the changing understandings of ideology as a concept, and the arguments of the main ideologies. By employing the latest insights from a range of disciplines, the reader is introduced to thevitality and force of a crucial resource at the disposal of societies, through which sense and purpose is assigned to the political world.

    In this Very Short Introduction, Michael Newman seeks to place the idea of socialism in a modern context for today's readers. He explains socialist ideas in the framework of its historical evolution, from the French Revolution to the present day, and examines practical attempts to implement socialism.Not just another history of socialist ideas, this book aims for a different approach that looks at practice as well as theory--centering on the contrast between Communism and Social Democracy. The relationship between socialism and notions of democracy, freedom, and equality is also discussed. Newman brings the subject entirely up to date by tackling contemporary forms of socialism. While the book's focus is on Europe and the Soviet Union, it is set in a broader geographical context. Newman's fresh approach to the subject enables the reader to re-evaluate socialism.About the Series: Combining authority with wit, accessibility, and style, Very Short Introductions offer an introduction to some of life's most interesting topics. Written by experts for the newcomer, they demonstrate the finest contemporary thinking about the central problems and issues in hundreds of key topics, from philosophy to Freud, quantum theory to Islam.

    In this book, Jonathan Barnes examines Aristotle's scientific researches, his discoveries in logic and his metaphysical theories, his work in psychology and in ethics and politics, and his ideas about art and poetry, placing his teachings in their historical context.About the Series: Combining authority with wit, accessibility, and style, Very Short Introductions offer an introduction to some of life's most interesting topics. Written by experts for the newcomer, they demonstrate the finest contemporary thinking about the central problems and issues in hundreds of key topics, from philosophy to Freud, quantum theory to Islam.

    But facing the sea change that AI will bring can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a world so different from what we know? In the face of such uncertainty, many analysts either cower in fear or predict an impossibly sunny future.But in Prediction Machines, three eminent economists recast the rise of AI as a drop in the cost of prediction. With this single, masterful stroke, they lift the curtain on the AI-is-magic hype and show how basic tools from economics provide clarity about the AI revolution and a basis for action by CEOs, managers, policy makers, investors, and entrepreneurs.When AI is framed as cheap prediction, its extraordinary potential becomes clear: Prediction is at the heart of making decisions under uncertainty. Our businesses and personal lives are riddled with such decisions. Prediction tools increase productivity--operating machines, handling documents, communicating with customers. Uncertainty constrains strategy. Better prediction creates opportunities for new business structures and strategies to compete. Penetrating, fun, and always insightful and practical, Prediction Machines follows its inescapable logic to explain how to navigate the changes on the horizon. The impact of AI will be profound, but the economic framework for understanding it is surprisingly simple.

    Out of the turbulence came stronger senses of identity in Scotland, Wales, and Ireland. Yet this was an age, too, of growing definition of Englishness and of a distinctive English cultural tradition.

    Yet there is much more to the debate than theclash of these extremes. As Thomas Dixon shows in this balanced and thought-provoking introduction, a whole range of views, subtle arguments, and fascinating perspectives can be found on this complex and centuries-old subject. He explores the key philosophical questions that underlie the debate, but also highlights the social, political, and ethical contexts that have made the tensions between science and religion such a fraught and interesting topic in the modern world. Dixon emphasizes how the modern conflict between evolution and creationism is quintessentially an American phenomenon, arising from the culture and history of the United States, as exemplified through the ongoing debates about how to interpret the First-Amendment's separation of church and state. Along the way, he examines landmark historical episodes such as the Galileo affair, Charles Darwin's own religious andscientific odyssey, the Scopes Monkey Trial in Tennessee in 1925, and the Dover Area School Board case of 2005, and includes perspectives from non-Christian religions and examples from across the physical, biological, and social sciences.About the Series: Combining authority with wit, accessibility, and style, Very Short Introductions offer an introduction to some of life's most interesting topics. Written by experts for the newcomer, they demonstrate the finest contemporary thinking about the central problems and issues in hundredsof key topics, from philosophy to Freud, quantum theory to Islam.

    Authors Drew Conway and John Myles White help you understand machine learning and statistics tools through a series of hands-on case studies, instead of a traditional math-heavy presentation.Each chapter focuses on a specific problem in machine learning, such as classification, prediction, optimization, and recommendation. Using the R programming language, you'll learn how to analyze sample datasets and write simple machine learning algorithms. "Machine Learning for Hackers" is ideal for programmers from any background, including business, government, and academic research.Develop a naive Bayesian classifier to determine if an email is spam, based only on its textUse linear regression to predict the number of page views for the top 1,000 websitesLearn optimization techniques by attempting to break a simple letter cipherCompare and contrast U.S. Senators statistically, based on their voting recordsBuild a "whom to follow" recommendation system from Twitter data

    E. Moore, and Ludwig Wittgenstein in the four decades around the turn of the twentieth century, analytic philosophy established itself in various forms in the 1930s. After the Second World War, it developed further in North America, in the rest of Europe, and is now growing in influence as the dominant philosophical tradition right across the world, from Latin America to East Asia.In this Very Short Introduction Michael Beaney introduces some of the key ideas of the founders of analytic philosophy by exploring certain fundamental philosophical questions and showing how those ideas can be used in offering answers. Considering the work of Susan Stebbing, he also explores the application of analytic philosophy to critical thinking, and emphasizes the conceptual creativity that lies at the heart of fruitful analysis. Throughout, Beaney illustrates why clarity of thinking, precision of expression, and rigour of argumentation are rightly seen as virtues of analytic philosophy.

    Walters examines the difficulties and inequities that women still face, more than forty years after the new wave of 1960s feminism--difficulties, particularly, in combining domesticity, motherhood and work outside the home. How much have women's lives really changed? In the West, women still come up against the glass ceiling at work, with most earning considerably less than their male counterparts. What are we to make of the now commonplace insistence that feminism deprives men of their rights and dignities? And how does one tackle the issue of female emancipation in different cultural and economic environments--in, for example, Islam, Hinduism, the Middle East, Africa, and the Indian sub-continent?

    Politicians and marketers present shoddy evidence for dubious claims all the time. But smart people make mistakes too, and when it comes to statistics, plenty of otherwise great scientists--yes, even those published in peer-reviewed journals--are doing statistics wrong."Statistics Done Wrong" comes to the rescue with cautionary tales of all-too-common statistical fallacies. It'll help you see where and why researchers often go wrong and teach you the best practices for avoiding their mistakes.In this book, you'll learn: - Why "statistically significant" doesn't necessarily imply practical significance- Ideas behind hypothesis testing and regression analysis, and common misinterpretations of those ideas- How and how not to ask questions, design experiments, and work with data- Why many studies have too little data to detect what they're looking for-and, surprisingly, why this means published results are often overestimates- Why false positives are much more common than "significant at the 5% level" would suggestBy walking through colorful examples of statistics gone awry, the book offers approachable lessons on proper methodology, and each chapter ends with pro tips for practicing scientists and statisticians. No matter what your level of experience, "Statistics Done Wrong" will teach you how to be a better analyst, data scientist, or researcher.

    Lyman Sargent discusses the role of utopianism in literature, and in the development of colonies and in immigration. The idea of utopia has become commonplace in social and political thought, both negatively and positively. Some thinkers see a trajectory from utopia to totalitarianism with violence an inevitable part of the mix. Others see utopia directly connected to freedom and as a necessary element in the fight against totalitarianism. In Christianity utopia is labelled as both heretical and as a fundamental part of Christian belief, and such debates are also central to such fields as architecture, town and city planning, and sociology among many othersSargent introduces and summarizes the debates over the utopia in literature, communal studies, social and political theory, and theology.ABOUT THE SERIES: The Very Short Introductions series from Oxford University Press contains hundreds of titles in almost every subject area. These pocket-sized books are the perfect way to get ahead in a new subject quickly. Our expert authors combine facts, analysis, perspective, new ideas, and enthusiasm to make interesting and challenging topics highly readable.

    Moreover, groundbreaking research on genes, and especially key families of genes such as the Homeobox genes which controlthe development of body plans, has led to radical changes in the classification of animals. In this Very Short Introduction, Peter Holland presents a cutting-edge tour of the animal kingdom, providing an authoritative summary of the modern view of animal life, its origins, and the new classificationresulting from DNA studies. Beginning with the definition of animals (not obvious in biological terms), Holland takes the reader through the revolutionary new high-level groupings of animals (phyla) based on evolutionary relationships and ancestry. Ranging from corals and sponges to nematodes, seasquirts, and vertebrates, and illuminating many key topics in zoology, this fascinating, brief overview will be of great value to all students of the life sciences as well as providing a concise summary for the interested lay reader.

    To many it remains the inspiration of our commitments to the betterment of the human condition. To others, it represents the elevation of one set of European values to the world, many of whose peoples have quite different values. But what is the relationship between the historical Enlightenment and the idea of 'Enlightenment', and can these two understandings be reconciled?In this Very Short Introduction, John Robertson offers a concise historical introduction to the Enlightenment as an intellectual movement of eighteenth-century Europe. Discussing its intellectual achievements, he also explores how its supporters exploited new ways of communicating their ideas to a wider public, creating a new 'public sphere' for critical discussion of the moral, economic and political issues facing their societies.ABOUT THE SERIES: The Very Short Introductions series from Oxford University Press contains hundreds of titles in almost every subject area. These pocket-sized books are the perfect way to get ahead in a new subject quickly. Our expert authors combine facts, analysis, perspective, new ideas, and enthusiasm to make interesting and challenging topics highly readable.#443

    Based on her work at the Santa Fe Institute and drawing on its interdisciplinary strategies, Mitchell brings clarity to the workings of complexity across a broad range of biological, technological, and social phenomena, seeking out the general principles or laws that apply to all of them. Richly illustrated, Complexity: A Guided Tour--winner of the 2010 Phi Beta Kappa Book Award in Science--offers a wide-ranging overview of the ideas underlying complex systems science, the current research at the forefront of this field, and the prospects for its contribution to solving some of the most important scientific questions of our time.

    It is the technology behind photo tagging systems at Facebook and Google, self-driving cars, speech recognition systems on your smartphone, and much more.In particular, Deep learning excels at solving machine perception problems: understanding the content of image data, video data, or sound data. Here's a simple example: say you have a large collection of images, and that you want tags associated with each image, for example, "dog," "cat," etc. Deep learning can allow you to create a system that understands how to map such tags to images, learning only from examples. This system can then be applied to new images, automating the task of photo tagging. A deep learning model only has to be fed examples of a task to start generating useful results on new data.