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| cornell data science major: Foundations of Data Science Avrim Blum, John Hopcroft, Ravindran Kannan, 2020-01-23 This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and analysis of large networks. Topics include the counterintuitive nature of data in high dimensions, important linear algebraic techniques such as singular value decomposition, the theory of random walks and Markov chains, the fundamentals of and important algorithms for machine learning, algorithms and analysis for clustering, probabilistic models for large networks, representation learning including topic modelling and non-negative matrix factorization, wavelets and compressed sensing. Important probabilistic techniques are developed including the law of large numbers, tail inequalities, analysis of random projections, generalization guarantees in machine learning, and moment methods for analysis of phase transitions in large random graphs. Additionally, important structural and complexity measures are discussed such as matrix norms and VC-dimension. This book is suitable for both undergraduate and graduate courses in the design and analysis of algorithms for data. |
| cornell data science major: Statistical Foundations of Data Science Jianqing Fan, Runze Li, Cun-Hui Zhang, Hui Zou, 2020-09-21 Statistical Foundations of Data Science gives a thorough introduction to commonly used statistical models, contemporary statistical machine learning techniques and algorithms, along with their mathematical insights and statistical theories. It aims to serve as a graduate-level textbook and a research monograph on high-dimensional statistics, sparsity and covariance learning, machine learning, and statistical inference. It includes ample exercises that involve both theoretical studies as well as empirical applications. The book begins with an introduction to the stylized features of big data and their impacts on statistical analysis. It then introduces multiple linear regression and expands the techniques of model building via nonparametric regression and kernel tricks. It provides a comprehensive account on sparsity explorations and model selections for multiple regression, generalized linear models, quantile regression, robust regression, hazards regression, among others. High-dimensional inference is also thoroughly addressed and so is feature screening. The book also provides a comprehensive account on high-dimensional covariance estimation, learning latent factors and hidden structures, as well as their applications to statistical estimation, inference, prediction and machine learning problems. It also introduces thoroughly statistical machine learning theory and methods for classification, clustering, and prediction. These include CART, random forests, boosting, support vector machines, clustering algorithms, sparse PCA, and deep learning. |
| cornell data science major: Materials Science and Engineering for the 1990s National Research Council, Division on Engineering and Physical Sciences, National Materials Advisory Board, Board on Physics and Astronomy, Commission on Engineering and Technical Systems, Commission on Physical Sciences, Mathematics, and Resources, Solid State Sciences Committee, Committee on Materials Science and Engineering, 1989-02-01 Materials science and engineering (MSE) contributes to our everyday lives by making possible technologies ranging from the automobiles we drive to the lasers our physicians use. Materials Science and Engineering for the 1990s charts the impact of MSE on the private and public sectors and identifies the research that must be conducted to help America remain competitive in the world arena. The authors discuss what current and future resources would be needed to conduct this research, as well as the role that industry, the federal government, and universities should play in this endeavor. |
| cornell data science major: Molecular Nutrition Janos Zempleni, Hannelore Daniel, 2003 Molecular nutrition (the study of interactions between nutrients and various intracellular and extracellular molecules) is one of the most rapidly developing fields in nutritional science. Ultimately, molecular nutrition research will reveal how nutrients may affect fundamental processes such as DNA repair, cell proliferation, and apoptosis. This book is the only single complete volume available reviewing the field of molecular nutrition. It contains contributions from leading international experts, and reviews the most important and latest research from various areas of molecular nutrition. |
| cornell data science major: Statistics and Data Analysis for Financial Engineering David Ruppert, David S. Matteson, 2015-04-21 The new edition of this influential textbook, geared towards graduate or advanced undergraduate students, teaches the statistics necessary for financial engineering. In doing so, it illustrates concepts using financial markets and economic data, R Labs with real-data exercises, and graphical and analytic methods for modeling and diagnosing modeling errors. These methods are critical because financial engineers now have access to enormous quantities of data. To make use of this data, the powerful methods in this book for working with quantitative information, particularly about volatility and risks, are essential. Strengths of this fully-revised edition include major additions to the R code and the advanced topics covered. Individual chapters cover, among other topics, multivariate distributions, copulas, Bayesian computations, risk management, and cointegration. Suggested prerequisites are basic knowledge of statistics and probability, matrices and linear algebra, and calculus. There is an appendix on probability, statistics and linear algebra. Practicing financial engineers will also find this book of interest. |
| cornell data science major: Big Data Science in Finance Irene Aldridge, Marco Avellaneda, 2021-01-08 Explains the mathematics, theory, and methods of Big Data as applied to finance and investing Data science has fundamentally changed Wall Street—applied mathematics and software code are increasingly driving finance and investment-decision tools. Big Data Science in Finance examines the mathematics, theory, and practical use of the revolutionary techniques that are transforming the industry. Designed for mathematically-advanced students and discerning financial practitioners alike, this energizing book presents new, cutting-edge content based on world-class research taught in the leading Financial Mathematics and Engineering programs in the world. Marco Avellaneda, a leader in quantitative finance, and quantitative methodology author Irene Aldridge help readers harness the power of Big Data. Comprehensive in scope, this book offers in-depth instruction on how to separate signal from noise, how to deal with missing data values, and how to utilize Big Data techniques in decision-making. Key topics include data clustering, data storage optimization, Big Data dynamics, Monte Carlo methods and their applications in Big Data analysis, and more. This valuable book: Provides a complete account of Big Data that includes proofs, step-by-step applications, and code samples Explains the difference between Principal Component Analysis (PCA) and Singular Value Decomposition (SVD) Covers vital topics in the field in a clear, straightforward manner Compares, contrasts, and discusses Big Data and Small Data Includes Cornell University-tested educational materials such as lesson plans, end-of-chapter questions, and downloadable lecture slides Big Data Science in Finance: Mathematics and Applications is an important, up-to-date resource for students in economics, econometrics, finance, applied mathematics, industrial engineering, and business courses, and for investment managers, quantitative traders, risk and portfolio managers, and other financial practitioners. |
| cornell data science major: Handbook of Bird Biology Irby J. Lovette, John W. Fitzpatrick, 2016-06-27 Selected by Forbes.com as one of the 12 best books about birds and birding in 2016 This much-anticipated third edition of the Handbook of Bird Biology is an essential and comprehensive resource for everyone interested in learning more about birds, from casual bird watchers to formal students of ornithology. Wherever you study birds your enjoyment will be enhanced by a better understanding of the incredible diversity of avian lifestyles. Arising from the renowned Cornell Lab of Ornithology and authored by a team of experts from around the world, the Handbook covers all aspects of avian diversity, behaviour, ecology, evolution, physiology, and conservation. Using examples drawn from birds found in every corner of the globe, it explores and distills the many scientific discoveries that have made birds one of our best known - and best loved - parts of the natural world. This edition has been completely revised and is presented with more than 800 full color images. It provides readers with a tool for life-long learning about birds and is suitable for bird watchers and ornithology students, as well as for ecologists, conservationists, and resource managers who work with birds. The Handbook of Bird Biology is the companion volume to the Cornell Lab's renowned distance learning course, www.birds.cornell.edu/courses/home/homestudy/. |
| cornell data science major: Understanding the Earth System Sarah E. Cornell, I. Colin Prentice, Joanna I. House, Catherine J. Downy, 2012-08-09 Explaining the what, the how and the why of climate science, this multidisciplinary new book provides a review of research from the last decade, illustrated with cutting-edge data and observations. A key focus is the development of analysis tools that can be used to demonstrate options for mitigating and adapting to increasing climate risks. Emphasis is given to the importance of Earth system feedback mechanisms and the role of the biosphere. The book explains advances in modelling, process understanding and observations, and the development of consistent and coherent studies of past, present and 'possible' climates. This highly illustrated, data-rich book is written by leading scientists involved in QUEST, a major UK-led research programme. It forms a concise and up-to-date reference for academic researchers or students in the fields of climatology, Earth system science and ecology, and also a vital resource for professionals and policymakers working on any aspect of global change. |
| cornell data science major: Modern Hatreds Stuart J. Kaufman, 2015-05-26 Ethnic conflict has been the driving force of wars all over the world, yet it remains an enigma. What is it about ethnicity that breaks countries apart and drives people to acts of savage violence against their lifelong neighbors? Stuart Kaufman rejects the notion of permanent ancient hatreds as the answer. Dissatisfied as well with a purely rationalist explanation, he finds the roots of ethnic violence in myths and symbols, the stories ethnic groups tell about who they are. Ethnic wars, Kaufman argues, result from the politics of these myths and symbols—appeals to flags and faded glories that aim to stir emotions rather than to address interests. Popular hostility based on these myths impels groups to follow extremist leaders invoking such emotion-laden ethnic symbols. If ethnic domination becomes their goal, ethnic war is the likely result. Kaufman examines contemporary ethnic wars in the Caucasus and southeastern Europe. Drawing on information from a variety of sources, including visits to the regions and dozens of personal interviews, he demonstrates that diplomacy and economic incentives are not enough to prevent or end ethnic wars. The key to real conflict resolution is peacebuilding—the often-overlooked effort by nongovernmental organizations to change hostile attitudes at both the elite and the grassroots levels. |
| cornell data science major: Buffon Jacques Roger, 1997 A biography of a premier French scientist of the Enlightenment and the director of France's Royal Botanical Garden, using Buffon's enormous literary production as the major source of insight into his and his age's beliefs about the natural world. Includes bandw illustrations from his Natural History. First published in 1989 as Buffon, un philosophe au Jardin du Roi, by Librarie Artheme Fayard. Annotation copyrighted by Book News, Inc., Portland, OR |
| cornell data science major: Clint Eastwood and Issues of American Masculinity Drucilla Cornell, 2009-08-25 In this risk-taking book, a major feminist philosopher engages the work of the actor and director who has progressed from being the stereotypical “man’s man” to pushing the boundaries of the very genres—the Western, the police thriller, the war or boxing movie—most associated with American masculinity. Cornell’s highly appreciative encounter with the films directed by Clint Eastwood revolve around the questions “What is it to be a good man?” and “What is it to be, not just an ethical person, but specifically an ethical man?” Focusing on Eastwood as a director rather than as an actor or cultural icon, she studies Eastwood in relation to major philosophical and ethical themes that have been articulated in her own life’s work. In her fresh and revealing readings of the films, Cornell takes up pressing issues of masculinity as it is caught up in the very definition of ideas of revenge, violence, moral repair, and justice. Eastwood grapples with this involvement of masculinity in and through many of the great symbols of American life, including cowboys, boxing, police dramas, and ultimately war—perhaps the single greatest symbol of what it means (or is supposed to mean) to be a man. Cornell discusses films from across Eastwood’s career, from his directorial debut with Play Misty for Me to Million Dollar Baby. Cornell’s book is not a traditional book of film criticism or a cinematographic biography. Rather, it is a work of social commentary and ethical philosophy. In a world in which we seem to be losing our grip on shared symbols, along with community itself, Eastwood’s films work with the fragmented symbols that remain to us in order to engage masculinity with the most profound moral and ethical issues facing us today. |
| cornell data science major: The Developmental State Meredith Woo-Cumings, 2019-06-30 Developmental state, n.: the government, motivated by desire for economic advancement, intervenes in industrial affairs. The notion of the developmental state has come under attack in recent years. Critics charge that Japan's success in putting this notion into practice has not been replicated elsewhere, that the concept threatens the purity of freemarket economics, and that its shortcomings have led to financial turmoil in Asia. In this informative and thought-provoking book, a team of distinguished scholars revisits this notion to assess its continuing utility and establish a common vocabulary for debates on these issues. Drawing on new political and economic theories and emphasizing recent events, the authors examine the East Asian experience to show how the developmental state involves a combination of political, bureaucratic, and moneyed influences that shape economic life in the region. Taking as its point of departure Chalmers Johnson's account of the Japanese developmental state, the book explores the interplay of forces that have determined the structure of opportunity in the region. The authors critically address the argument for centralized political involvement in industrial development (with a new contribution by Johnson), describe the historical impact of colonialism and the Cold War, consider new ideas in economics, and compare the experiences of East Asian countries with those of France, Brazil, Mexico, and India. |
| cornell data science major: A History of Cornell Morris Bishop, 2014-10-15 Cornell University is fortunate to have as its historian a man of Morris Bishop's talents and devotion. As an accurate record and a work of art possessing form and personality, his book at once conveys the unique character of the early university—reflected in its vigorous founder, its first scholarly president, a brilliant and eccentric faculty, the hardy student body, and, sometimes unfortunately, its early architecture—and establishes Cornell's wider significance as a case history in the development of higher education. Cornell began in rebellion against the obscurantism of college education a century ago. Its record, claims the author, makes a social and cultural history of modern America. This story will undoubtedly entrance Cornellians; it will also charm a wider public. Dr. Allan Nevins, historian, wrote: I anticipated that this book would meet the sternest tests of scholarship, insight, and literary finish. I find that it not only does this, but that it has other high merits. It shows grasp of ideas and forces. It is graphic in its presentation of character and idiosyncrasy. It lights up its story by a delightful play of humor, felicitously expressed. Its emphasis on fundamentals, without pomposity or platitude, is refreshing. Perhaps most important of all, it achieves one goal that in the history of a living university is both extremely difficult and extremely valuable: it recreates the changing atmosphere of time and place. It is written, very plainly, by a man who has known and loved Cornell and Ithaca for a long time, who has steeped himself in the traditions and spirit of the institution, and who possesses the enthusiasm and skill to convey his understanding of these intangibles to the reader. The distinct personalities of Ezra Cornell and first president Andrew Dickson White dominate the early chapters. For a vignette of the founder, see Bishop's description of his first buildings (Cascadilla, Morrill, McGraw, White, Sibley): At best, he writes, they embody the character of Ezra Cornell, grim, gray, sturdy, and economical. To the English historian, James Anthony Froude, Mr. Cornell was the most surprising and venerable object I have seen in America. The first faculty, chosen by President White, reflected his character: his idealism, his faith in social emancipation by education, his dislike of dogmatism, confinement, and inherited orthodoxy; while the romantic upstate gothic architecture of such buildings as the President's house (now Andrew D. White Center for the Humanities), Sage Chapel, and Franklin Hall may be said to portray the taste and Soul of Andrew Dickson White. Other memorable characters are Louis Fuertes, the beloved naturalist; his student, Hugh Troy, who once borrowed Fuertes' rhinoceros-foot wastebasket for illicit if hilarious purposes; the more noteworthy and the more eccentric among the faculty of succeeding presidential eras; and of course Napoleon, the campus dog, whose talent for hailing streetcars brought him home safely—and alone—from the Penn game. The humor in A History of Cornell is at times kindly, at times caustic, and always illuminating. |
| cornell data science major: Machines as the Measure of Men Michael Adas, 1989 This new edition of what has become a standard account of Western expansion and technological dominance includes a new preface by the author that discusses how subsequent developments in gender and race studies, as well as global technology and politics, enter into conversation with his original arguments. |
| cornell data science major: Colleges that Change Lives Loren Pope, 1996 The distinctive group of forty colleges profiled here is a well-kept secret in a status industry. They outdo the Ivies and research universities in producing winners. And they work their magic on the B and C students as well as on the A students. Loren Pope, director of the College Placement Bureau, provides essential information on schools that he has chosen for their proven ability to develop potential, values, initiative, and risk-taking in a wide range of students. Inside you'll find evaluations of each school's program and personality to help you decide if it's a community that's right for you; interviews with students that offer an insider's perspective on each college; professors' and deans' viewpoints on their school, their students, and their mission; and information on what happens to the graduates and what they think of their college experience. Loren Pope encourages you to be a hard-nosed consumer when visiting a college, advises how to evaluate a school in terms of your own needs and strengths, and shows how the college experience can enrich the rest of your life. |
| cornell data science major: John Dewey and American Democracy Robert B. Westbrook, 2015-07-22 Over a career spanning American history from the 1880s to the 1950s, John Dewey sought not only to forge a persuasive argument for his conviction that democracy is freedom but also to realize his democratic ideals through political activism. Widely considered modern America's most important philosopher, Dewey made his views known both through his writings and through such controversial episodes as his leadership of educational reform at the turn of the century; his support of American intervention in World War I and his leading role in the Outlawry of War movement after the war; and his participation in both radical and anti-communist politics in the 1930s and 40s. Robert B. Westbrook reconstructs the evolution of Dewey's thought and practice in this masterful intellectual biography, combining readings of his major works with an engaging account of key chapters in his activism. Westbrook pays particular attention to the impact upon Dewey of conversations and debates with contemporaries from William James and Reinhold Niebuhr to Jane Addams and Leon Trotsky. Countering prevailing interpretations of Dewey's contribution to the ideology of American liberalism, he discovers a more unorthodox Dewey—a deviant within the liberal community who was steadily radicalized by his profound faith in participatory democracy. Anyone concerned with the nature of democracy and the future of liberalism in America—including educators, moral and social philosophers, social scientists, political theorists, and intellectual and cultural historians—will find John Dewey and American Democracy indispensable reading. |
| cornell data science major: Hierarchy in International Relations David A. Lake, 2011-08-15 International relations are generally understood as a realm of anarchy in which countries lack any superior authority and interact within a Hobbesian state of nature. In Hierarchy in International Relations, David A. Lake challenges this traditional view, demonstrating that states exercise authority over one another in international hierarchies that vary historically but are still pervasive today. Revisiting the concepts of authority and sovereignty, Lake offers a novel view of international relations in which states form social contracts that bind both dominant and subordinate members. The resulting hierarchies have significant effects on the foreign policies of states as well as patterns of international conflict and cooperation. Focusing largely on U.S.-led hierarchies in the contemporary world, Lake provides a compelling account of the origins, functions, and limits of political order in the modern international system. The book is a model of clarity in theory, research design, and the use of evidence. Motivated by concerns about the declining international legitimacy of the United States following the Iraq War, Hierarchy in International Relations offers a powerful analytic perspective that has important implications for understanding America's position in the world in the years ahead. |
| cornell data science major: Just Politics C. William Walldorf, Jr., 2011-08-15 Many foreign policy analysts assume that elite policymakers in liberal democracies consistently ignore humanitarian norms when these norms interfere with commercial and strategic interests. Today's endorsement by Western governments of repressive regimes in countries from Kazakhstan to Pakistan and Saudi Arabia in the name of fighting terror only reinforces this opinion. In Just Politics, C. William Walldorf Jr. challenges this conventional wisdom, arguing that human rights concerns have often led democratic great powers to sever vital strategic partnerships even when it has not been in their interest to do so.Walldorf sets out his case in detailed studies of British alliance relationships with the Ottoman Empire and Portugal in the nineteenth century and of U.S. partnerships with numerous countries—ranging from South Africa, Turkey, Greece and El Salvador to Nicaragua, Chile, and Argentina—during the Cold War. He finds that illiberal behavior by partner states, varying degrees of pressure by nonstate actors, and legislative activism account for the decisions by democracies to terminate strategic partnerships for human rights reasons.To demonstrate the central influence of humanitarian considerations and domestic politics in the most vital of strategic moments of great-power foreign policy, Walldorf argues that Western governments can and must integrate human rights into their foreign policies. Failure to take humanitarian concerns into account, he contends, will only damage their long-term strategic objectives. |
| cornell data science major: Semiparametric Regression with R Jaroslaw Harezlak, David Ruppert, Matt P. Wand, 2018-12-12 This easy-to-follow applied book on semiparametric regression methods using R is intended to close the gap between the available methodology and its use in practice. Semiparametric regression has a large literature but much of it is geared towards data analysts who have advanced knowledge of statistical methods. While R now has a great deal of semiparametric regression functionality, many of these developments have not trickled down to rank-and-file statistical analysts. The authors assemble a broad range of semiparametric regression R analyses and put them in a form that is useful for applied researchers. There are chapters devoted to penalized spines, generalized additive models, grouped data, bivariate extensions of penalized spines, and spatial semi-parametric regression models. Where feasible, the R code is provided in the text, however the book is also accompanied by an external website complete with datasets and R code. Because of its flexibility, semiparametric regression has proven to be of great value with many applications in fields as diverse as astronomy, biology, medicine, economics, and finance. This book is intended for applied statistical analysts who have some familiarity with R. |
| cornell data science major: Fault Lines Karl Pillemer, Ph.D., 2022-11-01 Real solutions to a hidden epidemic: family estrangement. Estrangement from a family member is one of the most painful life experiences. It is devastating not only to the individuals directly involved--collateral damage can extend upward, downward, and across generations, More than 65 million Americans suffer such rifts, yet little guidance exists on how to cope with and overcome them. In this book, Karl Pillemer combines the advice of people who have successfully reconciled with powerful insights from social science research. The result is a unique guide to mending fractured families. Fault Lines shares for the first time findings from Dr. Pillemer's ten-year groundbreaking Cornell Reconciliation Project, based on the first national survey on estrangement; rich, in-depth interviews with hundreds of people who have experienced it; and insights from leading family researchers and therapists. He assures people who are estranged, and those who care about them, that they are not alone and that fissures can be bridged. Through the wisdom of people who have been there, Fault Lines shows how healing is possible through clear steps that people can use right away in their own families. It addresses such questions as: How do rifts begin? What makes estrangement so painful? Why is it so often triggered by a single event? Are you ready to reconcile? How can you overcome past hurts to build a new future with a relative? Tackling a subject that is achingly familiar to almost everyone, especially in an era when powerful outside forces such as technology and mobility are lessening family cohesion, Dr. Pillemer combines dramatic stories, science-based guidance, and practical repair tools to help people find the path to reconciliation. |
| cornell data science major: Foundations of Probabilistic Programming Gilles Barthe, Joost-Pieter Katoen, Alexandra Silva, 2020-12-03 This book provides an overview of the theoretical underpinnings of modern probabilistic programming and presents applications in e.g., machine learning, security, and approximate computing. Comprehensive survey chapters make the material accessible to graduate students and non-experts. This title is also available as Open Access on Cambridge Core. |
| cornell data science major: The Remnants of War John Mueller, 2013-02-15 War... is merely an idea, an institution, like dueling or slavery, that has been grafted onto human existence. It is not a trick of fate, a thunderbolt from hell, a natural calamity, or a desperate plot contrivance dreamed up by some sadistic puppeteer on high. And it seems to me that the institution is in pronounced decline, abandoned as attitudes toward it have changed, roughly following the pattern by which the ancient and formidable institution of slavery became discredited and then mostly obsolete.—from the Introduction War is one of the great themes of human history and now, John Mueller believes, it is clearly declining. Developed nations have generally abandoned it as a way for conducting their relations with other countries, and most current warfare (though not all) is opportunistic predation waged by packs—often remarkably small ones—of criminals and bullies. Thus, argues Mueller, war has been substantially reduced to its remnants—or dregs—and thugs are the residual combatants. Mueller is sensitive to the policy implications of this view. When developed states commit disciplined troops to peacekeeping, the result is usually a rapid cessation of murderous disorder. The Remnants of War thus reinvigorates our sense of the moral responsibility bound up in peacekeeping. In Mueller's view, capable domestic policing and military forces can also be effective in reestablishing civic order, and the building of competent governments is key to eliminating most of what remains of warfare. |
| cornell data science major: Reading Psychoanalysis Peter L. Rudnytsky, 2002 Rudnytsky explores the dialectical interplay between literature and psychoanalysis by reading key psychoanalytic texts in a variety of genres. |
| cornell data science major: Joseph Cornell and Astronomy Kirsten A. Hoving, 2009 Joseph Cornell and Astronomy provides an in-depth look at one artist's intense fascination with the science of astronomy. Joseph Cornell (1903-72) has often been viewed as a recluse, isolated in his home on Utopia Parkway, lost in the fairy tales and charming objects of his collages and assemblage boxes. Less commonly known has been Cornell's vested and serious interest in the history of astronomy and the cutting-edge discoveries made during his own lifetime. An avid reader, he amassed a library of books and articles about science and astronomy, and his reflections about these subjects had a direct impact on his art. This book explores why astronomy captivated Cornell, and considers hundreds of his works--found-footage films, three-dimensional space-object boxes, enigmatic collages, and cosmic ephemera--that contain references to astronomical phenomena. Kirsten Hoving considers Cornell's enormous collection of astronomy materials, ranging from eighteenth-century books to recent works; newspaper and magazine articles that Cornell clipped and sorted; and diary entries of his observations while stargazing in his backyard. She examines how Cornell explored many dimensions of astronomy through his identities as a Christian Scientist and surrealist artist. Unfolding Cornell's work with depth and breadth, Joseph Cornell and Astronomy offers a convincing and original appreciation of this intriguing American artist. |
| cornell data science major: The Professor Is In Karen Kelsky, 2015-08-04 The definitive career guide for grad students, adjuncts, post-docs and anyone else eager to get tenure or turn their Ph.D. into their ideal job Each year tens of thousands of students will, after years of hard work and enormous amounts of money, earn their Ph.D. And each year only a small percentage of them will land a job that justifies and rewards their investment. For every comfortably tenured professor or well-paid former academic, there are countless underpaid and overworked adjuncts, and many more who simply give up in frustration. Those who do make it share an important asset that separates them from the pack: they have a plan. They understand exactly what they need to do to set themselves up for success. They know what really moves the needle in academic job searches, how to avoid the all-too-common mistakes that sink so many of their peers, and how to decide when to point their Ph.D. toward other, non-academic options. Karen Kelsky has made it her mission to help readers join the select few who get the most out of their Ph.D. As a former tenured professor and department head who oversaw numerous academic job searches, she knows from experience exactly what gets an academic applicant a job. And as the creator of the popular and widely respected advice site The Professor is In, she has helped countless Ph.D.’s turn themselves into stronger applicants and land their dream careers. Now, for the first time ever, Karen has poured all her best advice into a single handy guide that addresses the most important issues facing any Ph.D., including: -When, where, and what to publish -Writing a foolproof grant application -Cultivating references and crafting the perfect CV -Acing the job talk and campus interview -Avoiding the adjunct trap -Making the leap to nonacademic work, when the time is right The Professor Is In addresses all of these issues, and many more. |
| cornell data science major: A Grand Strategy for America Robert J. Art, 2013-02-01 The United States today is the most powerful nation in the world, perhaps even stronger than Rome was during its heyday. It is likely to remain the world's preeminent power for at least several decades to come. What behavior is appropriate for such a powerful state? To answer this question, Robert J. Art concentrates on grand strategy-the deployment of military power in both peace and war to support foreign policy goals. He first defines America's contemporary national interests and the specific threats they face, then identifies seven grand strategies that the United States might contemplate, examining each in relation to America's interests. The seven are: •dominion-forcibly trying to remake the world in America's own image; • global collective security-attempting to keep the peace everywhere; •regional collective security-confining peacekeeping efforts to Europe; • cooperative security-seeking to reduce the occurrence of war by limiting other states' offensive capabilities; • isolationism-withdrawing from all military involvement beyond U.S. borders; •containment-holding the line against aggressor states; and •selective engagement-choosing to prevent or to become involved only in those conflicts that pose a threat to the country's long-term interests. Art makes a strong case for selective engagement as the most desirable strategy for contemporary America. It is the one that seeks to forestall dangers, not simply react to them; that is politically viable, at home and abroad; and that protects all U.S. interests, both essential and desirable. Art concludes that selective engagement is not a strategy for all times, but it is the best grand strategy for these times. |
| cornell data science major: The Fuzzy and the Techie Scott Hartley, 2018 A leading venture capitalist offers surprising revelations on who will be driving innovation in the years to come. |
| cornell data science major: Hands-On Data Analysis with Pandas Stefanie Molin, 2019-07-26 Get to grips with pandas—a versatile and high-performance Python library for data manipulation, analysis, and discovery Key FeaturesPerform efficient data analysis and manipulation tasks using pandasApply pandas to different real-world domains using step-by-step demonstrationsGet accustomed to using pandas as an effective data exploration toolBook Description Data analysis has become a necessary skill in a variety of positions where knowing how to work with data and extract insights can generate significant value. Hands-On Data Analysis with Pandas will show you how to analyze your data, get started with machine learning, and work effectively with Python libraries often used for data science, such as pandas, NumPy, matplotlib, seaborn, and scikit-learn. Using real-world datasets, you will learn how to use the powerful pandas library to perform data wrangling to reshape, clean, and aggregate your data. Then, you will learn how to conduct exploratory data analysis by calculating summary statistics and visualizing the data to find patterns. In the concluding chapters, you will explore some applications of anomaly detection, regression, clustering, and classification, using scikit-learn, to make predictions based on past data. By the end of this book, you will be equipped with the skills you need to use pandas to ensure the veracity of your data, visualize it for effective decision-making, and reliably reproduce analyses across multiple datasets. What you will learnUnderstand how data analysts and scientists gather and analyze dataPerform data analysis and data wrangling in PythonCombine, group, and aggregate data from multiple sourcesCreate data visualizations with pandas, matplotlib, and seabornApply machine learning (ML) algorithms to identify patterns and make predictionsUse Python data science libraries to analyze real-world datasetsUse pandas to solve common data representation and analysis problemsBuild Python scripts, modules, and packages for reusable analysis codeWho this book is for This book is for data analysts, data science beginners, and Python developers who want to explore each stage of data analysis and scientific computing using a wide range of datasets. You will also find this book useful if you are a data scientist who is looking to implement pandas in machine learning. Working knowledge of Python programming language will be beneficial. |
| cornell data science major: Protean Power Peter J. Katzenstein, Lucia A. Seybert, 2018-01-18 Mainstream international relations continues to assume that the world is governed by calculable risk based on estimates of power, despite repeatedly being surprised by unexpected change. This ground breaking work departs from existing definitions of power that focus on the actors' evolving ability to exercise control in situations of calculable risk. It introduces the concept of 'protean power', which focuses on the actors' agility as they adapt to situations of uncertainty. Protean Power uses twelve real world case studies to examine how the dynamics of protean and control power can be tracked in the relations among different state and non-state actors, operating in diverse sites, stretching from local to global, in both times of relative normalcy and moments of crisis. Katzenstein and Seybert argue for a new approach to international relations, where the inclusion of protean power in our analytical models helps in accounting for unforeseen changes in world politics. |
| cornell data science major: Applied Magnetism R. Gerber, C.D. Wright, G. Asti, 2013-03-09 This book is based on the contributions to a course, entitled Applied Magnetism, which was the 25th Course of the International School of Materials Science and Technology. The Course was held as a NATO Advanced Study Institute at the Ettore Majorana Centre in Erice, Sicily, Italy between the 1st and 12th July 1992, and attracted almost 70 participants from 15 different countries. The book deals with the theory, experiments and applications of the main topical areas of applied magnetism. These selected areas include the physics of magnetic recording, magnetic and magneto-optic recording devices, systems and media, magnetic fine particles, magnetic separation, domains and domain walls in soft magnetic materials, permanent magnets, magnetoresistance, thin film magneto-optics, and finally, microwave, optical and computational magnetics. The material is organised into I 0 self-contained chapters which together provide a comprehensive coverage of the subject of applied magnetism. The aim is to emphasise the connection between the fundamental theoretical concepts, key experiments and the important technological developments which have been achieved in this field up to the present time. Moreover, when and where possible, pointers to future trends are indicated which hopefully, together with the background material, will promote further advancement of research. The organizing committee would like to acknowledge the sponsorship of the NATO Scientific Affairs Division, the National Science Foundation of the USA, the Science and Engineering Research Council of the UK, the Italian Ministry of Education, the Italian Ministry of University and Scientific Research and the Sicilian Regional Government. |
| cornell data science major: The Design of Approximation Algorithms David P. Williamson, David B. Shmoys, 2011-04-26 Discrete optimization problems are everywhere, from traditional operations research planning problems, such as scheduling, facility location, and network design; to computer science problems in databases; to advertising issues in viral marketing. Yet most such problems are NP-hard. Thus unless P = NP, there are no efficient algorithms to find optimal solutions to such problems. This book shows how to design approximation algorithms: efficient algorithms that find provably near-optimal solutions. The book is organized around central algorithmic techniques for designing approximation algorithms, including greedy and local search algorithms, dynamic programming, linear and semidefinite programming, and randomization. Each chapter in the first part of the book is devoted to a single algorithmic technique, which is then applied to several different problems. The second part revisits the techniques but offers more sophisticated treatments of them. The book also covers methods for proving that optimization problems are hard to approximate. Designed as a textbook for graduate-level algorithms courses, the book will also serve as a reference for researchers interested in the heuristic solution of discrete optimization problems. |
| cornell data science major: Amma Judith Cornell, 2001 Looks at the life of Ammachi, Mother of Immortal Bliss, also known as the hugging saint, who spends her time offering strangers comfort and peace, and details her divine calling. |
| cornell data science major: Healthcare Data Analytics Chandan K. Reddy, Charu C. Aggarwal, 2015-06-23 At the intersection of computer science and healthcare, data analytics has emerged as a promising tool for solving problems across many healthcare-related disciplines. Supplying a comprehensive overview of recent healthcare analytics research, Healthcare Data Analytics provides a clear understanding of the analytical techniques currently available |
| cornell data science major: How China Escaped the Poverty Trap Yuen Yuen Ang, 2016-09-06 WINNER OF THE 2017 PETER KATZENSTEIN BOOK PRIZE BEST OF BOOKS IN 2017 BY FOREIGN AFFAIRS WINNER OF THE 2018 VIVIAN ZELIZER PRIZE BEST BOOK AWARD IN ECONOMIC SOCIOLOGY How China Escaped the Poverty Trap truly offers game-changing ideas for the analysis and implementation of socio-economic development and should have a major impact across many social sciences. ― Zelizer Best Book in Economic Sociology Prize Committee Acclaimed as game changing and field shifting, How China Escaped the Poverty Trap advances a new paradigm in the political economy of development and sheds new light on China's rise. How can poor and weak societies escape poverty traps? Political economists have traditionally offered three answers: stimulate growth first, build good institutions first, or some fortunate nations inherited good institutions that led to growth. Yuen Yuen Ang rejects all three schools of thought and their underlying assumptions: linear causation, a mechanistic worldview, and historical determinism. Instead, she launches a new paradigm grounded in complex adaptive systems, which embraces the reality of interdependence and humanity's capacity to innovate. Combining this original lens with more than 400 interviews with Chinese bureaucrats and entrepreneurs, Ang systematically reenacts the complex process that turned China from a communist backwater into a global juggernaut in just 35 years. Contrary to popular misconceptions, she shows that what drove China's great transformation was not centralized authoritarian control, but directed improvisation—top-down directions from Beijing paired with bottom-up improvisation among local officials. Her analysis reveals two broad lessons on development. First, transformative change requires an adaptive governing system that empowers ground-level actors to create new solutions for evolving problems. Second, the first step out of the poverty trap is to use what you have—harnessing existing resources to kick-start new markets, even if that means defying first-world norms. Bold and meticulously researched, How China Escaped the Poverty Trap opens up a whole new avenue of thinking for scholars, practitioners, and anyone seeking to build adaptive systems. |
| cornell data science major: London Falling Paul Cornell, 2013-04-16 A writer of the acclaimed modern incarnation of Doctor Who begins a nail-biting contemporary dark fantasy series |
| cornell data science major: Media Technologies Tarleton Gillespie, Pablo J. Boczkowski, Kirsten A. Foot, 2014-01-24 Scholars from communication and media studies join those from science and technology studies to examine media technologies as complex, sociomaterial phenomena. In recent years, scholarship around media technologies has finally shed the assumption that these technologies are separate from and powerfully determining of social life, looking at them instead as produced by and embedded in distinct social, cultural, and political practices. Communication and media scholars have increasingly taken theoretical perspectives originating in science and technology studies (STS), while some STS scholars interested in information technologies have linked their research to media studies inquiries into the symbolic dimensions of these tools. In this volume, scholars from both fields come together to advance this view of media technologies as complex sociomaterial phenomena. The contributors first address the relationship between materiality and mediation, considering such topics as the lived realities of network infrastructure. The contributors then highlight media technologies as always in motion, held together through the minute, unobserved work of many, including efforts to keep these technologies alive. Contributors Pablo J. Boczkowski, Geoffrey C. Bowker, Finn Brunton, Gabriella Coleman, Gregory J. Downey, Kirsten A. Foot, Tarleton Gillespie, Steven J. Jackson, Christopher M. Kelty, Leah A. Lievrouw, Sonia Livingstone, Ignacio Siles, Jonathan Sterne, Lucy Suchman, Fred Turner |
| cornell data science major: Chalk Paul Cornell, 2017-03-21 This is what horror ought to be: primal, personal, and powerful. — Seanan McGuire Paul Cornell plumbs the depths of magic and despair in Chalk, a brutal exploration of bullying in Margaret Thatcher's England. Andrew Waggoner has always hung around with his fellow losers at school, desperately hoping each day that the school bullies — led by Drake — will pass him by in search of other prey. But one day they force him into the woods, and the bullying escalates into something more; something unforgivable; something unthinkable. Broken, both physically and emotionally, something dies in Waggoner, and something else is born in its place. In the hills of the West Country a chalk horse stands vigil over a site of ancient power, and there Waggoner finds in himself a reflection of rage and vengeance, a power and persona to topple those who would bring him low. At the Publisher's request, this title is being sold without Digital Rights Management Software (DRM) applied. |
| cornell data science major: Why Things Break Mark Eberhart, 2007-12-18 Did you know— • It took more than an iceberg to sink the Titanic. • The Challenger disaster was predicted. • Unbreakable glass dinnerware had its origin in railroad lanterns. • A football team cannot lose momentum. • Mercury thermometers are prohibited on airplanes for a crucial reason. • Kryptonite bicycle locks are easily broken. “Things fall apart” is more than a poetic insight—it is a fundamental property of the physical world. Why Things Break explores the fascinating question of what holds things together (for a while), what breaks them apart, and why the answers have a direct bearing on our everyday lives. When Mark Eberhart was growing up in the 1960s, he learned that splitting an atom leads to a terrible explosion—which prompted him to worry that when he cut into a stick of butter, he would inadvertently unleash a nuclear cataclysm. Years later, as a chemistry professor, he remembered this childhood fear when he began to ponder the fact that we know more about how to split an atom than we do about how a pane of glass breaks. In Why Things Break, Eberhart leads us on a remarkable and entertaining exploration of all the cracks, clefts, fissures, and faults examined in the field of materials science and the many astonishing discoveries that have been made about everything from the explosion of the space shuttle Challenger to the crashing of your hard drive. Understanding why things break is crucial to modern life on every level, from personal safety to macroeconomics, but as Eberhart reveals here, it is also an area of cutting-edge science that is as provocative as it is illuminating. |
| cornell data science major: A Black Man in the White House Cornell Belcher, 2016 America's racial fault lines run uninterrupted from the days of slavery, to those of lynchings, separate water fountains, and the contemporary Jim Crow of voter suppression, gerrymandered voting districts, and the attempt to nullify the presidency of America's first Black chief executive.¿In this book Cornell Belcher, award-winning pollster who twice served on President Barack Obama's presidential election team, presents stunning new research that illuminates just how deep and jagged these racial fault lines continue to be. The election of the nation's first Black president does not mean that we live in a post-racial society; it means only that America's demographics have changed to the point that a minority can be elected to the country's highest office.¿The panicked response of the waning white majority to what they perceive as the catastrophe of a Black president can be heard in every cry to take back our country. This panic has resulted in the elevation of an overt and unapologetic racist as the nominee of one of America's major political parties.¿Let's be clear, as Belcher points out: there isn't any going back. America's changing population and the continued globalization of our marketplaces won't allow it. In order to compete and win the future, America must let go of the historic tribal pecking order and a system gamed to favor the old ruling white elite. ¿To paraphrase DuBois, The problem of the twenty-first century remains the color line. |
| cornell data science major: Introduction to Modern Political Theory Cyril Edwin Mitchinson Joad, 1924 |
在康奈尔大学 (Cornell University) 就读是种怎样的体验？ - 知乎
但这里就分享一个好玩的经历吧，这件事我觉得真心是Cornell这样的名校才能给我的，而且是我看完《阿拉伯的劳伦斯》后一直神往的地方，那就是我在读书期间获得了沙特阿拉伯政府全额奖 …
大家怎么看位于纽约市的 Cornell Tech（康奈尔科技校区）项目？
因为我在Cornell本部也读过，应该比较有发言权，我就来解释下这个事。Cornell一直因为它较偏僻的地理位置被诟病，所以Cornell长期以来都有在纽约的分校，而且分校和本部之间联系紧密。 …
硕士毕业论文是深度学习相关，需要自己做数据集，但我做出来的 …
盲审的话有两个点可以毙掉你的论文： （1）自己做的数据集。一般算法创新需要在公开数据集上测试效果，如果需要特殊数据集，应该先在公开数据集上证明自己方法的有效性，然后再在自 …
常春藤、25所新常春藤、公立常春藤都是哪些学校？ - 知乎
康奈尔大学（Cornell University）#18; 新常春藤（25所） 范德堡大学（Vanderbilt University）#14; 圣路易斯华盛顿大学（Washington University in St. Louis）#16; 莱斯大 …
如何评价英伟达发布的 Tesla V100 计算卡？ - 知乎
原文：Cornell University -> Cornell Virtual Workshop -> Understanding GPU Architecture -> GPU Example: Tesla V100. It's fine to have a general understanding of what graphics processing …
致久坐腰疼的年轻人——七年总结的办公久坐护腰指南
Oct 24, 2023 · 根据2:1的规律，每天仍有至少有6小时以上的坐姿时间，更何况996的老哥门，每天至少有8小时需要坐在椅子上。
在康奈尔大学 (Cornell University) 就读是种怎样的体验？ - 知乎
但这里就分享一个好玩的经历吧，这件事我觉得真心是Cornell这样的名校才能给我的，而且是我看完《阿拉伯的劳伦斯》后一直神往的地方，那就是我在读书期间获得了沙特阿拉伯政府全额奖 …
大家怎么看位于纽约市的 Cornell Tech（康奈尔科技校区）项目？
因为我在Cornell本部也读过，应该比较有发言权，我就来解释下这个事。Cornell一直因为它较偏僻的地理位置被诟病，所以Cornell长期以来都有在纽约的分校，而且分校和本部之间联系紧密。 …
硕士毕业论文是深度学习相关，需要自己做数据集，但我做出来的 …
盲审的话有两个点可以毙掉你的论文： （1）自己做的数据集。一般算法创新需要在公开数据集上测试效果，如果需要特殊数据集，应该先在公开数据集上证明自己方法的有效性，然后再在自 …
常春藤、25所新常春藤、公立常春藤都是哪些学校？ - 知乎
康奈尔大学（Cornell University）#18; 新常春藤（25所） 范德堡大学（Vanderbilt University）#14; 圣路易斯华盛顿大学（Washington University in St. Louis）#16; 莱斯大 …
如何评价英伟达发布的 Tesla V100 计算卡？ - 知乎
原文：Cornell University -> Cornell Virtual Workshop -> Understanding GPU Architecture -> GPU Example: Tesla V100. It's fine to have a general understanding of what graphics processing …
致久坐腰疼的年轻人——七年总结的办公久坐护腰指南
Oct 24, 2023 · 根据2:1的规律，每天仍有至少有6小时以上的坐姿时间，更何况996的老哥门，每天至少有8小时需要坐在椅子上。
