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Big Data: A Very Short Introduction by Dawn E. Holmes


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Russell: A Very Short Introduction


A.C. Grayling - 1996
    In this account of his life and work A. C. Grayling introduces both his technical contributions to logic and philosophy, and his wide-ranging views on education, politics, war, and sexual morality. Russell is credited with being one of the prime movers of Analytic Philosophy, and with having played a part in the revolution in social attitudes witnessed throughout the twentieth-century world. This introduction gives a clear survey of Russell's achievements across a wide ange.

Thought: A Very Short Introduction


Tim Bayne - 2013
    But what are thoughts? How does the brain--billions of tiny neurons and synapses--accomplish thought? In this compelling Very Short Introduction, Tim Bayne offers a compact but wide-ranging account of the nature of thought, drawing upon philosophy, psychology, neuroscience, and anthropology. Bayne touches on a stimulating array of topics. Does thinking occur in public or is it a purely private affair? Do young children and non-human animals think? Is human thought the same everywhere, or are there culturally specific modes of thought? What is the relationship between thought and language? What kind of responsibility do we have for our thoughts? In what ways can the process of thinking go wrong? Beginning with questions about what thought is and what distinguishes it from other kinds of mental states, he explores the logical structures of thought as well as the mechanisms that make thought possible. In sum, this book provides an engaging survey of what we know--and what we don't know--about one of the most central of human capacities. About the Series: Oxford's Very Short Introductions series offers concise and original introductions to a wide range of subjects--from Islam to Sociology, Politics to Classics, Literary Theory to History, and Archaeology to the Bible. Not simply a textbook of definitions, each volume in this series provides trenchant and provocative--yet always balanced and complete--discussions of the central issues in a given discipline or field. Every Very Short Introduction gives a readable evolution of the subject in question, demonstrating how the subject has developed and how it has influenced society. Eventually, the series will encompass every major academic discipline, offering all students an accessible and abundant reference library. Whatever the area of study that one deems important or appealing, whatever the topic that fascinates the general reader, the Very Short Introductions series has a handy and affordable guide that will likely prove indispensable.

Locke: A Very Short Introduction


John Dunn - 1984
    In this book John Dunn shows how Locke arrived at his theory of knowledge, and how his exposition of the liberal values of toleration and responsible government formed the backbone of enlightened European thought of the eighteenth century.NB: originally published as: Locke, Oxford University Press 1984 (pb) reprinted 1986, 1988, 1989, 1990, 1992, 1994, 1995, 1996, 1999, 89 pp.Subsequently published as part of The British Empiricists, Oxford 1992, reprinted 1996; this work included J.O. Urmson on Berkeley and A.J. Ayer on HumeFinally, reissued with new material as: Locke: A Very Short Introduction, (pb) Oxford University Press 2003, reprinted 2005, 2006

Nine Algorithms That Changed the Future: The Ingenious Ideas That Drive Today's Computers


John MacCormick - 2012
    A simple web search picks out a handful of relevant needles from the world's biggest haystack: the billions of pages on the World Wide Web. Uploading a photo to Facebook transmits millions of pieces of information over numerous error-prone network links, yet somehow a perfect copy of the photo arrives intact. Without even knowing it, we use public-key cryptography to transmit secret information like credit card numbers; and we use digital signatures to verify the identity of the websites we visit. How do our computers perform these tasks with such ease? This is the first book to answer that question in language anyone can understand, revealing the extraordinary ideas that power our PCs, laptops, and smartphones. Using vivid examples, John MacCormick explains the fundamental "tricks" behind nine types of computer algorithms, including artificial intelligence (where we learn about the "nearest neighbor trick" and "twenty questions trick"), Google's famous PageRank algorithm (which uses the "random surfer trick"), data compression, error correction, and much more. These revolutionary algorithms have changed our world: this book unlocks their secrets, and lays bare the incredible ideas that our computers use every day.

Astrobiology: A Very Short Introduction


David C. Catling - 2013
    Astrobiologists seek to understand the origin and evolution of life on Earth in order to illuminate and guide the search for life on other planets. In this Very Short Introduction, David C. Catling introduces the subject through our understanding of the factors that allowed life to arise and persist on our own planet, and for the signs we are looking for in the search for extraterrestrial life.About the Series: Oxford's Very Short Introductions series offers concise and original introductions to a wide range of subjects--from Islam to Sociology, Politics to Classics, Literary Theory to History, and Archaeology to the Bible. Not simply a textbook of definitions, each volume in this series provides trenchant and provocative--yet always balanced and complete--discussions of the central issues in a given discipline or field. Every Very Short Introduction gives a readable evolution of the subject in question, demonstrating how the subject has developed and how it has influenced society. Eventually, the series will encompass every major academic discipline, offering all students an accessible and abundant reference library. Whatever the area of study that one deems important or appealing, whatever the topic that fascinates the general reader, the Very Short Introductions series has a handy and affordable guide that will likely prove indispensable.#370

Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die


Eric Siegel - 2013
    Rather than a "how to" for hands-on techies, the book entices lay-readers and experts alike by covering new case studies and the latest state-of-the-art techniques.You have been predicted — by companies, governments, law enforcement, hospitals, and universities. Their computers say, "I knew you were going to do that!" These institutions are seizing upon the power to predict whether you're going to click, buy, lie, or die.Why? For good reason: predicting human behavior combats financial risk, fortifies healthcare, conquers spam, toughens crime fighting, and boosts sales.How? Prediction is powered by the world's most potent, booming unnatural resource: data. Accumulated in large part as the by-product of routine tasks, data is the unsalted, flavorless residue deposited en masse as organizations churn away. Surprise! This heap of refuse is a gold mine. Big data embodies an extraordinary wealth of experience from which to learn.Predictive analytics unleashes the power of data. With this technology, the computer literally learns from data how to predict the future behavior of individuals. Perfect prediction is not possible, but putting odds on the future — lifting a bit of the fog off our hazy view of tomorrow — means pay dirt.In this rich, entertaining primer, former Columbia University professor and Predictive Analytics World founder Eric Siegel reveals the power and perils of prediction: -What type of mortgage risk Chase Bank predicted before the recession. -Predicting which people will drop out of school, cancel a subscription, or get divorced before they are even aware of it themselves. -Why early retirement decreases life expectancy and vegetarians miss fewer flights. -Five reasons why organizations predict death, including one health insurance company. -How U.S. Bank, European wireless carrier Telenor, and Obama's 2012 campaign calculated the way to most strongly influence each individual. -How IBM's Watson computer used predictive modeling to answer questions and beat the human champs on TV's Jeopardy! -How companies ascertain untold, private truths — how Target figures out you're pregnant and Hewlett-Packard deduces you're about to quit your job. -How judges and parole boards rely on crime-predicting computers to decide who stays in prison and who goes free. -What's predicted by the BBC, Citibank, ConEd, Facebook, Ford, Google, IBM, the IRS, Match.com, MTV, Netflix, Pandora, PayPal, Pfizer, and Wikipedia. A truly omnipresent science, predictive analytics affects everyone, every day. Although largely unseen, it drives millions of decisions, determining whom to call, mail, investigate, incarcerate, set up on a date, or medicate.Predictive analytics transcends human perception. This book's final chapter answers the riddle: What often happens to you that cannot be witnessed, and that you can't even be sure has happened afterward — but that can be predicted in advance?Whether you are a consumer of it — or consumed by it — get a handle on the power of Predictive Analytics.

Stuart Britain: A Very Short Introduction


John Morrill - 2000
    The Stuart Britain era, a notch on the timeline spanning roughly 1603-1714, is one of the most interesting times in the history of Britain. John Morrill's Stuart Britain: A Very Short Introduction brings us the major events, characters, and issues of the day. Special attention is given to the defeat King Charles I by the Parliamentary Army, and the successive waves of authoritarian Puritan, Protestant and Catholic rule which followed. Vividly illustrated and full of intriguing details, this is an ideal introduction to a fascinating time.

How to Lie with Statistics


Darrell Huff - 1954
    Darrell Huff runs the gamut of every popularly used type of statistic, probes such things as the sample study, the tabulation method, the interview technique, or the way the results are derived from the figures, and points up the countless number of dodges which are used to fool rather than to inform.

Stem Cells: A Very Short Introduction


Jonathan Slack - 2012
    In this Very Short Introduction, leading authority Jonathan Slack offers a clear and informative overview of stem cells--what they are, what scientists do with them, what stem cell therapies are available today, and how they might be used in the future. Slack explains the difference between embryonic stem cells, which exist only in laboratory cultures, and tissue-specific stem cells, which exist in our bodies, and he discusses how embryonic stem cells may be used in the future to treat such illnesses as diabetes, Parkinson's disease, heart disease, spinal trauma, and retinal degeneration. But he stresses that, despite important advances, the clinical applications of stem cells are still in their infancy and that most real stem cell therapy today is some form of bone marrow transplantation. Slack concludes by analyzing how medical innovation has occurred in this area in recent years and he draws out some of the lessons for the development of new therapies in the future.

The British Constitution: A Very Short Introduction


Martin Loughlin - 2013
    What are the main characteristics of Britain's peculiar constitutional arrangements? How has the British constitution altered in response to the changing nature of its state--from England, to Britain, to the United Kingdom? What impact has the UK's developing relations with the European Union caused? These are some of the questions that legal scholar Martin Loughlin investigates in this Very Short Introduction. He traces how the British constitution has grown organically, in response to changes in the economic, political, and social environment. By considering the nature and authority of the current British constitution, and placing it in the context of others, Loughlin reveals how the traditional idea of a constitution came to be retained, what problems have been generated as a result of adapting a traditional approach in a modern political world, and what the future holds for the British constitution.About the Series:Oxford's Very Short Introductions series offers concise and original introductions to a wide range of subjects--from Islam to Sociology, Politics to Classics, Literary Theory to History, and Archaeology to the Bible. Not simply a textbook of definitions, each volume in this series provides trenchant and provocative--yet always balanced and complete--discussions of the central issues in a given discipline or field. Every Very Short Introduction gives a readable evolution of the subject in question, demonstrating how the subject has developed and how it has influenced society. Eventually, the series will encompass every major academic discipline, offering all students an accessible and abundant reference library. Whatever the area of study that one deems important or appealing, whatever the topic that fascinates the general reader, the Very Short Introductions series has a handy and affordable guide that will likely prove indispensable.

Algorithms to Live By: The Computer Science of Human Decisions


Brian Christian - 2016
    What should we do, or leave undone, in a day or a lifetime? How much messiness should we accept? What balance of new activities and familiar favorites is the most fulfilling? These may seem like uniquely human quandaries, but they are not: computers, too, face the same constraints, so computer scientists have been grappling with their version of such issues for decades. And the solutions they've found have much to teach us.In a dazzlingly interdisciplinary work, acclaimed author Brian Christian and cognitive scientist Tom Griffiths show how the algorithms used by computers can also untangle very human questions. They explain how to have better hunches and when to leave things to chance, how to deal with overwhelming choices and how best to connect with others. From finding a spouse to finding a parking spot, from organizing one's inbox to understanding the workings of memory, Algorithms to Live By transforms the wisdom of computer science into strategies for human living.

Bayes Theorem: A Visual Introduction For Beginners


Dan Morris - 2016
    Bayesian statistics is taught in most first-year statistics classes across the nation, but there is one major problem that many students (and others who are interested in the theorem) face. The theorem is not intuitive for most people, and understanding how it works can be a challenge, especially because it is often taught without visual aids. In this guide, we unpack the various components of the theorem and provide a basic overview of how it works - and with illustrations to help. Three scenarios - the flu, breathalyzer tests, and peacekeeping - are used throughout the booklet to teach how problems involving Bayes Theorem can be approached and solved. Over 60 hand-drawn visuals are included throughout to help you work through each problem as you learn by example. The illustrations are simple, hand-drawn, and in black and white. For those interested, we have also included sections typically not found in other beginner guides to Bayes Rule. These include: A short tutorial on how to understand problem scenarios and find P(B), P(A), and P(B|A). For many people, knowing how to approach scenarios and break them apart can be daunting. In this booklet, we provide a quick step-by-step reference on how to confidently understand scenarios.A few examples of how to think like a Bayesian in everyday life. Bayes Rule might seem somewhat abstract, but it can be applied to many areas of life and help you make better decisions. It is a great tool that can help you with critical thinking, problem-solving, and dealing with the gray areas of life. A concise history of Bayes Rule. Bayes Theorem has a fascinating 200+ year history, and we have summed it up for you in this booklet. From its discovery in the 1700’s to its being used to break the German’s Enigma Code during World War 2, its tale is quite phenomenal.Fascinating real-life stories on how Bayes formula is used in everyday life.From search and rescue to spam filtering and driverless cars, Bayes is used in many areas of modern day life. We have summed up 3 examples for you and provided an example of how Bayes could be used.An expanded definitions, notations, and proof section.We have included an expanded definitions and notations sections at the end of the booklet. In this section we define core terms more concretely, and also cover additional terms you might be confused about. A recommended readings section.From The Theory That Would Not Die to a few other books, there are a number of recommendations we have for further reading. Take a look! If you are a visual learner and like to learn by example, this intuitive booklet might be a good fit for you. Bayesian statistics is an incredibly fascinating topic and likely touches your life every single day. It is a very important tool that is used in data analysis throughout a wide-range of industries - so take an easy dive into the theorem for yourself with a visual approach!If you are looking for a short beginners guide packed with visual examples, this booklet is for you.

Early Music: A Very Short Introduction


Thomas Forrest Kelly - 2011
    In this Very Short Introduction, Thomas Forrest Kelly provides not only a compact overview of the music itself, but also a lively look at the many attempts over the last two centuries to revive it. Kelly shows that the early-music revival has long been grounded in the idea of spontaneity, of excitement, and of recapturing experiences otherwise lost to us--either the rediscovery of little-known repertories or the recovery of lost performing styles, with the conviction that, with the right performance, the music will come to life anew. Blending musical and social history, he shows how the Early Music movement in the 1960s took on political overtones, fueled by a rebellion against received wisdom and enforced conformity. Kelly also discusses ongoing debates about authenticity, the desirability of period instruments, and the relationship of mainstream opera companies and symphony orchestras to music that they often ignore, or play in modern fashion.

Art Theory: A Very Short Introduction


Cynthia A. Freeland - 2003
    Not simply a textbook of definitions, each volume provides trenchant and provocative--yetalways balanced and complete--discussions of the central issues in a given topic. Every Very Short Introduction gives a readable evolution of the subject in question, demonstrating how it has developed and influenced society. Whatever the area of study, whatever the topic that fascinates the reader, the series has a handy and affordable guide that will likely prove indispensable.

Dataclysm: Who We Are (When We Think No One's Looking)


Christian Rudder - 2014
    In Dataclysm, Christian Rudder uses it to show us who we truly are.   For centuries, we’ve relied on polling or small-scale lab experiments to study human behavior. Today, a new approach is possible. As we live more of our lives online, researchers can finally observe us directly, in vast numbers, and without filters. Data scientists have become the new demographers.   In this daring and original book, Rudder explains how Facebook "likes" can predict, with surprising accuracy, a person’s sexual orientation and even intelligence; how attractive women receive exponentially more interview requests; and why you must have haters to be hot. He charts the rise and fall of America’s most reviled word through Google Search and examines the new dynamics of collaborative rage on Twitter. He shows how people express themselves, both privately and publicly. What is the least Asian thing you can say? Do people bathe more in Vermont or New Jersey? What do black women think about Simon & Garfunkel? (Hint: they don’t think about Simon & Garfunkel.) Rudder also traces human migration over time, showing how groups of people move from certain small towns to the same big cities across the globe. And he grapples with the challenge of maintaining privacy in a world where these explorations are possible.   Visually arresting and full of wit and insight, Dataclysm is a new way of seeing ourselves—a brilliant alchemy, in which math is made human and numbers become the narrative of our time.