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| data science minor cornell: 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. |
| data science minor cornell: 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. |
| data science minor cornell: Cracking the Data Science Interview Maverick Lin, 2019-12-17 Cracking the Data Science Interview is the first book that attempts to capture the essence of data science in a concise, compact, and clean manner. In a Cracking the Coding Interview style, Cracking the Data Science Interview first introduces the relevant concepts, then presents a series of interview questions to help you solidify your understanding and prepare you for your next interview. Topics include: - Necessary Prerequisites (statistics, probability, linear algebra, and computer science) - 18 Big Ideas in Data Science (such as Occam's Razor, Overfitting, Bias/Variance Tradeoff, Cloud Computing, and Curse of Dimensionality) - Data Wrangling (exploratory data analysis, feature engineering, data cleaning and visualization) - Machine Learning Models (such as k-NN, random forests, boosting, neural networks, k-means clustering, PCA, and more) - Reinforcement Learning (Q-Learning and Deep Q-Learning) - Non-Machine Learning Tools (graph theory, ARIMA, linear programming) - Case Studies (a look at what data science means at companies like Amazon and Uber) Maverick holds a bachelor's degree from the College of Engineering at Cornell University in operations research and information engineering (ORIE) and a minor in computer science. He is the author of the popular Data Science Cheatsheet and Data Engineering Cheatsheet on GCP and has previous experience in data science consulting for a Fortune 500 company focusing on fraud analytics. |
| data science minor cornell: 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/. |
| data science minor cornell: 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. |
| data science minor cornell: Emancipation's Daughters Riché Richardson, 2020-11-23 In Emancipation's Daughters, Riché Richardson examines iconic black women leaders who have contested racial stereotypes and constructed new national narratives of black womanhood in the United States. Drawing on literary texts and cultural representations, Richardson shows how five emblematic black women—Mary McLeod Bethune, Rosa Parks, Condoleezza Rice, Michelle Obama, and Beyoncé—have challenged white-centered definitions of American identity. By using the rhetoric of motherhood and focusing on families and children, these leaders have defied racist images of black women, such as the mammy or the welfare queen, and rewritten scripts of femininity designed to exclude black women from civic participation. Richardson shows that these women's status as national icons was central to reconstructing black womanhood in ways that moved beyond dominant stereotypes. However, these formulations are often premised on heteronormativity and exclude black queer and trans women. Throughout Emancipation's Daughters, Richardson reveals new possibilities for inclusive models of blackness, national femininity, and democracy. |
| data science minor cornell: 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. |
| data science minor cornell: Solitary Wasps Kevin M. O'Neill, 2001 Solitary Wasps: Behavior and Natural History is the first general survey of the subject in more than 25 years and is the best place to turn for information about the biology and compelling behavior of these common insects. Topics covered in Solitary Wasps: Behavior and Natural History include: classification of the solitary wasps and their relation to other Hymenoptera; foraging and nesting behaviors; mating and parental strategies; thermoregulation; natural enemies; defensive strategies; and directions for future research.--Jacket. |
| data science minor cornell: 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. |
| data science minor cornell: Risk, Uncertainty and Profit Frank H. Knight, 2006-11-01 A timeless classic of economic theory that remains fascinating and pertinent today, this is Frank Knight's famous explanation of why perfect competition cannot eliminate profits, the important differences between risk and uncertainty, and the vital role of the entrepreneur in profitmaking. Based on Knight's PhD dissertation, this 1921 work, balancing theory with fact to come to stunning insights, is a distinct pleasure to read. FRANK H. KNIGHT (1885-1972) is considered by some the greatest American scholar of economics of the 20th century. An economics professor at the University of Chicago from 1927 until 1955, he was one of the founders of the Chicago school of economics, which influenced Milton Friedman and George Stigler. |
| data science minor cornell: Wheat Hugh Cornell, Albert W. Hoveling, 2020-02-03 This book meets the need for a comprehensive, up-to-date review of wheat chemistry, processing and uses. It provides the reader with extensive new information on wheat components that will be useful in better commercial utilization of wheat and the formulation of new and upgraded wheat-based food products. The book serves as a one-volume information resource for all those involved in the research, development, formulation, and evaluation of wheat-based food products. From the Authors' Preface Wheat continues to be one of the world's most important grains, especially as a food, where the unique properties of its products can be utilized to advantage. It provides an excellent example of a natural product from which a wide range of useful by-products can be made. This book discusses the components of the wheat kernel, which provide interesting examples of study of carbohydrate and protein chemistry, as well as lipids, minerals and vitamins. This book should serve as a useful reference for the cereal chemist, as well as chemists and food technologists in those industries in which by-products of flour are used, e.g., the confectionery industry in which modified starches and starch syrups are used. In addition, nutritionists, dieticians, and many kinds of researchers will find chapters of interest. Particular attention is given to particle-size determinations, an important area in food processing, and to the role of wheat proteins in gluten intolerance and wheat allergy. . . . Both the milling of wheat and flour quality are discussed in order to give the reader an idea of the distribution of the major components and the importance of proper size reduction. The book also has a chapter on wet milling of wheat flour . . . and chapters on the properties and uses of wheat starch, starch syrups, and chemically modified wheat starch. |
| data science minor cornell: The Physiological Ecology of Vertebrates Brian Keith McNab, 2002 Though physiological ecology has been a discipline since the 1950s, McNab redresses a perceived absence of a theoretical framework with a comparative, inductive approach to studying vertebrate evolution and ecology. He discusses the patterns and limits of adaptation to the environment, acclimation to temperature variation and material exchange with the environment, and the energetics of locomotion and growth. The final section treats the significance of energetics for population ecology and distribution. Includes a taxonomic as well as subject index. Suitable for advanced students and researchers in the biological and ecological sciences. The Gainesville, FL-based author is referred to by the foreword writer as a keen naturalist, but his credentials are not stated. Annotation copyrighted by Book News Inc., Portland, OR. |
| data science minor cornell: 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. |
| data science minor cornell: The Ecology of Human Development Urie BRONFENBRENNER, 2009-06-30 Here is a book that challenges the very basis of the way psychologists have studied child development. According to Urie Bronfenbrenner, one of the world's foremost developmental psychologists, laboratory studies of the child's behavior sacrifice too much in order to gain experimental control and analytic rigor. Laboratory observations, he argues, too often lead to the science of the strange behavior of children in strange situations with strange adults for the briefest possible periods of time. To understand the way children actually develop, Bronfenbrenner believes that it will be necessary to observe their behavior in natural settings, while they are interacting with familiar adults over prolonged periods of time. This book offers an important blueprint for constructing such a new and ecologically valid psychology of development. The blueprint includes a complete conceptual framework for analysing the layers of the environment that have a formative influence on the child. This framework is applied to a variety of settings in which children commonly develop, ranging from the pediatric ward to daycare, school, and various family configurations. The result is a rich set of hypotheses about the developmental consequences of various types of environments. Where current research bears on these hypotheses, Bronfenbrenner marshals the data to show how an ecological theory can be tested. Where no relevant data exist, he suggests new and interesting ecological experiments that might be undertaken to resolve current unknowns. Bronfenbrenner's groundbreaking program for reform in developmental psychology is certain to be controversial. His argument flies in the face of standard psychological procedures and challenges psychology to become more relevant to the ways in which children actually develop. It is a challenge psychology can ill-afford to ignore. |
| data science minor cornell: The Justice Dilemma Daniel Krcmaric, 2020-09-15 Abusive leaders are now held accountable for their crimes in a way that was unimaginable just a few decades ago. What are the consequences of this recent push for international justice? In The Justice Dilemma, Daniel Krcmaric explains why the golden parachute of exile is no longer an attractive retirement option for oppressive rulers. He argues that this is both a blessing and a curse: leaders culpable for atrocity crimes fight longer civil wars because they lack good exit options, but the threat of international prosecution deters some leaders from committing atrocities in the first place. The Justice Dilemma therefore diagnoses an inherent tension between conflict resolution and atrocity prevention, two of the signature goals of the international community. Krcmaric also sheds light on several important puzzles in world politics. Why do some rulers choose to fight until they are killed or captured? Why not simply save oneself by going into exile? Why do some civil conflicts last so much longer than others? Why has state-sponsored violence against civilians fallen in recent years? While exploring these questions, Krcmaric marshals statistical evidence on patterns of exile, civil war duration, and mass atrocity onset. He also reconstructs the decision-making processes of embattled leaders—including Muammar Gaddafi of Libya, Charles Taylor of Liberia, and Blaise Compaoré of Burkina Faso—to show how contemporary international justice both deters atrocities and prolongs conflicts. |
| data science minor cornell: Balancing Risks Jeffrey W. Taliaferro, 2019-06-30 Great powers often initiate risky military and diplomatic inventions in far-off, peripheral regions that pose no direct threat to them, risking direct confrontation with rivals in strategically inconsequential places. Why do powerful countries behave in a way that leads to entrapment in prolonged, expensive, and self-defeating conflicts? Jeffrey W. Taliaferro suggests that such interventions are driven by the refusal of senior officials to accept losses in their state's relative power, international status, or prestige. Instead of cutting their losses, leaders often continue to invest blood and money in failed excursions into the periphery. Their policies may seem to be driven by rational concerns about power and security, but Taliaferro deems them to be at odds with the master explanation of political realism. Taliaferro constructs a balance-of-risk theory of foreign policy that draws on defensive realism (in international relations) and prospect theory (in psychology). He illustrates the power of this new theory in several case narratives: Germany's initiation and escalation of the 1905 and 1911 Moroccan crises, the United States' involvement in the Korean War in 1950–52, and Japan's entanglement in the second Sino-Japanese war in 1937–40 and its decisions for war with the U.S. in 1940–41. |
| data science minor cornell: The Beginnings of Rome Tim Cornell, 2012-12-06 Using the results of archaeological techniques, and examining methodological debates, Tim Cornell provides a lucid and authoritative account of the rise of Rome. The Beginnings of Rome offers insight on major issues such as: Rome’s relations with the Etruscans the conflict between patricians and plebeians the causes of Roman imperialism the growth of slave-based economy. Answering the need for raising acute questions and providing an analysis of the many different kinds of archaeological evidence with literary sources, this is the most comprehensive study of the subject available, and is essential reading for students of Roman history. |
| data science minor cornell: Advances in Financial Machine Learning Marcos Lopez de Prado, 2018-01-23 Learn to understand and implement the latest machine learning innovations to improve your investment performance Machine learning (ML) is changing virtually every aspect of our lives. Today, ML algorithms accomplish tasks that – until recently – only expert humans could perform. And finance is ripe for disruptive innovations that will transform how the following generations understand money and invest. In the book, readers will learn how to: Structure big data in a way that is amenable to ML algorithms Conduct research with ML algorithms on big data Use supercomputing methods and back test their discoveries while avoiding false positives Advances in Financial Machine Learning addresses real life problems faced by practitioners every day, and explains scientifically sound solutions using math, supported by code and examples. Readers become active users who can test the proposed solutions in their individual setting. Written by a recognized expert and portfolio manager, this book will equip investment professionals with the groundbreaking tools needed to succeed in modern finance. |
| data science minor cornell: 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. |
| data science minor cornell: 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. |
| data science minor cornell: The Last Lecture Randy Pausch, Jeffrey Zaslow, 2010 The author, a computer science professor diagnosed with terminal cancer, explores his life, the lessons that he has learned, how he has worked to achieve his childhood dreams, and the effect of his diagnosis on him and his family. |
| data science minor cornell: Statistics for Finance Erik Lindström, Henrik Madsen, Jan Nygaard Nielsen, 2016-04-21 Statistics for Finance develops students’ professional skills in statistics with applications in finance. Developed from the authors’ courses at the Technical University of Denmark and Lund University, the text bridges the gap between classical, rigorous treatments of financial mathematics that rarely connect concepts to data and books on econometrics and time series analysis that do not cover specific problems related to option valuation. The book discusses applications of financial derivatives pertaining to risk assessment and elimination. The authors cover various statistical and mathematical techniques, including linear and nonlinear time series analysis, stochastic calculus models, stochastic differential equations, Itō’s formula, the Black–Scholes model, the generalized method-of-moments, and the Kalman filter. They explain how these tools are used to price financial derivatives, identify interest rate models, value bonds, estimate parameters, and much more. This textbook will help students understand and manage empirical research in financial engineering. It includes examples of how the statistical tools can be used to improve value-at-risk calculations and other issues. In addition, end-of-chapter exercises develop students’ financial reasoning skills. |
| data science minor cornell: Dictators at War and Peace Jessica L. P. Weeks, 2014-09-08 Why do some autocratic leaders pursue aggressive or expansionist foreign policies, while others are much more cautious in their use of military force? The first book to focus systematically on the foreign policy of different types of authoritarian regimes, Dictators at War and Peace breaks new ground in our understanding of the international behavior of dictators. Jessica L. P. Weeks explains why certain kinds of regimes are less likely to resort to war than others, why some are more likely to win the wars they start, and why some authoritarian leaders face domestic punishment for foreign policy failures whereas others can weather all but the most serious military defeat. Using novel cross-national data, Weeks looks at various nondemocratic regimes, including those of Saddam Hussein and Joseph Stalin; the Argentine junta at the time of the Falklands War, the military government in Japan before and during World War II, and the North Vietnamese communist regime. She finds that the differences in the conflict behavior of distinct kinds of autocracies are as great as those between democracies and dictatorships. Indeed, some types of autocracies are no more belligerent or reckless than democracies, casting doubt on the common view that democracies are more selective about war than autocracies. |
| data science minor cornell: Making Media Jan Roberts-Breslin, 2017-11-20 Making Media: Foundations of Sound and Image Production takes the media production process and deconstructs it into its most basic components. Students will learn the basic concepts of media production – frame, sound, light, time, motion, and sequencing – and be able to apply them to any medium they choose, from film and television to fine art and online applications. They will also become well-grounded in the digital work environment and the tools required to produce media in today’s digital environment. This new fourth edition is completely updated and includes a new chapter on the production process and production safety; information on current trends in production, exhibition, and distribution; and much more. New topics include virtual and augmented reality, the use of drones and new practices interactive media. The text is also fully illustrated and includes sidebar discussions of pertinent issues throughout. The companion website has been completely revamped with interactive exercises for each chapter, allowing students to explore the process of media production. |
| data science minor cornell: Restraint Barry R. Posen, 2014-06-03 The United States, Barry R. Posen argues in Restraint, has grown incapable of moderating its ambitions in international politics. Since the collapse of Soviet power, it has pursued a grand strategy that he calls liberal hegemony, one that Posen sees as unnecessary, counterproductive, costly, and wasteful. Written for policymakers and observers alike, Restraint explains precisely why this grand strategy works poorly and then provides a carefully designed alternative grand strategy and an associated military strategy and force structure. In contrast to the failures and unexpected problems that have stemmed from America’s consistent overreaching, Posen makes an urgent argument for restraint in the future use of U.S. military strength. After setting out the political implications of restraint as a guiding principle, Posen sketches the appropriate military forces and posture that would support such a strategy. He works with a deliberately constrained notion of grand strategy and, even more important, of national security (which he defines as including sovereignty, territorial integrity, power position, and safety). His alternative for military strategy, which Posen calls command of the commons, focuses on protecting U.S. global access through naval, air, and space power, while freeing the United States from most of the relationships that require the permanent stationing of U.S. forces overseas. |
| data science minor cornell: Information Technology and Military Power Jon R. Lindsay, 2020-07-15 Militaries with state-of-the-art information technology sometimes bog down in confusing conflicts. To understand why, it is important to understand the micro-foundations of military power in the information age, and this is exactly what Jon R. Lindsay's Information Technology and Military Power gives us. As Lindsay shows, digital systems now mediate almost every effort to gather, store, display, analyze, and communicate information in military organizations. He highlights how personnel now struggle with their own information systems as much as with the enemy. Throughout this foray into networked technology in military operations, we see how information practice—the ways in which practitioners use technology in actual operations—shapes the effectiveness of military performance. The quality of information practice depends on the interaction between strategic problems and organizational solutions. Information Technology and Military Power explores information practice through a series of detailed historical cases and ethnographic studies of military organizations at war. Lindsay explains why the US military, despite all its technological advantages, has struggled for so long in unconventional conflicts against weaker adversaries. This same perspective suggests that the US retains important advantages against advanced competitors like China that are less prepared to cope with the complexity of information systems in wartime. Lindsay argues convincingly that a better understanding of how personnel actually use technology can inform the design of command and control, improve the net assessment of military power, and promote reforms to improve military performance. Warfighting problems and technical solutions keep on changing, but information practice is always stuck in between. |
| data science minor cornell: Principles of Data Integration AnHai Doan, Alon Halevy, Zachary Ives, 2012-06-25 Principles of Data Integration is the first comprehensive textbook of data integration, covering theoretical principles and implementation issues as well as current challenges raised by the semantic web and cloud computing. The book offers a range of data integration solutions enabling you to focus on what is most relevant to the problem at hand. Readers will also learn how to build their own algorithms and implement their own data integration application. Written by three of the most respected experts in the field, this book provides an extensive introduction to the theory and concepts underlying today's data integration techniques, with detailed, instruction for their application using concrete examples throughout to explain the concepts. This text is an ideal resource for database practitioners in industry, including data warehouse engineers, database system designers, data architects/enterprise architects, database researchers, statisticians, and data analysts; students in data analytics and knowledge discovery; and other data professionals working at the R&D and implementation levels. - Offers a range of data integration solutions enabling you to focus on what is most relevant to the problem at hand - Enables you to build your own algorithms and implement your own data integration applications |
| data science minor cornell: The Autobiographical Self in Time and Culture Qi Wang, 2013-09-05 This book traces the developmental, social, cultural, and historical origins of the autobiographical self - the self that is made of memories of the personal past and of the family and the community. It combines rigorous research, compelling theoretical insights, sensitive survey of real memories and memory conversations, and fascinating personal anecdotes to convey a message: the autobiographical self is conditioned by one's time and culture. |
| data science minor cornell: 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. |
| data science minor cornell: 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. |
| data science minor cornell: Mathematics and Climate Hans Kaper, Hans Engler, 2013-10-18 Mathematics and Climate is a timely textbook aimed at students and researchers in mathematics and statistics who are interested in current issues of climate science, as well as at climate scientists who wish to become familiar with qualitative and quantitative methods of mathematics and statistics. The authors emphasize conceptual models that capture important aspects of Earth's climate system and present the mathematical and statistical techniques that can be applied to their analysis. Topics from climate science include the Earth?s energy balance, temperature distribution, ocean circulation patterns such as El Ni?o?Southern Oscillation, ice caps and glaciation periods, the carbon cycle, and the biological pump. Among the mathematical and statistical techniques presented in the text are dynamical systems and bifurcation theory, Fourier analysis, conservation laws, regression analysis, and extreme value theory. The following features make Mathematics and Climate a valuable teaching resource: issues of current interest in climate science and sustainability are used to introduce the student to the methods of mathematics and statistics; the mathematical sophistication increases as the book progresses and topics can thus be selected according to interest and level of knowledge; each chapter ends with a set of exercises that reinforce or enhance the material presented in the chapter and stimulate critical thinking and communication skills; and the book contains an extensive list of references to the literature, a glossary of terms for the nontechnical reader, and a detailed index. |
| data science minor cornell: Prominent Families of New York Lyman Horace Weeks, 1898 |
| data science minor cornell: Preventing Bullying Through Science, Policy, and Practice National Academies of Sciences, Engineering, and Medicine, Health and Medicine Division, Division of Behavioral and Social Sciences and Education, Committee on Law and Justice, Board on Children, Youth, and Families, Committee on the Biological and Psychosocial Effects of Peer Victimization: Lessons for Bullying Prevention, 2016-09-14 Bullying has long been tolerated as a rite of passage among children and adolescents. There is an implication that individuals who are bullied must have asked for this type of treatment, or deserved it. Sometimes, even the child who is bullied begins to internalize this idea. For many years, there has been a general acceptance and collective shrug when it comes to a child or adolescent with greater social capital or power pushing around a child perceived as subordinate. But bullying is not developmentally appropriate; it should not be considered a normal part of the typical social grouping that occurs throughout a child's life. Although bullying behavior endures through generations, the milieu is changing. Historically, bulling has occurred at school, the physical setting in which most of childhood is centered and the primary source for peer group formation. In recent years, however, the physical setting is not the only place bullying is occurring. Technology allows for an entirely new type of digital electronic aggression, cyberbullying, which takes place through chat rooms, instant messaging, social media, and other forms of digital electronic communication. Composition of peer groups, shifting demographics, changing societal norms, and modern technology are contextual factors that must be considered to understand and effectively react to bullying in the United States. Youth are embedded in multiple contexts and each of these contexts interacts with individual characteristics of youth in ways that either exacerbate or attenuate the association between these individual characteristics and bullying perpetration or victimization. Recognizing that bullying behavior is a major public health problem that demands the concerted and coordinated time and attention of parents, educators and school administrators, health care providers, policy makers, families, and others concerned with the care of children, this report evaluates the state of the science on biological and psychosocial consequences of peer victimization and the risk and protective factors that either increase or decrease peer victimization behavior and consequences. |
| data science minor cornell: 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. |
| data science minor cornell: Pigeons and Doves of the World Derek Goodwin, 1977 |
| data science minor cornell: Life and Death in Captivity Geoffrey P. R. Wallace, 2015-04-30 In Life and Death in Captivity, Geoffrey P. R. Wallace explores the profound differences in the ways captives are treated during armed conflict. Wallace focuses on the dual role played by regime type and the nature of the conflict in determining whether captor states opt for brutality or mercy. |
| data science minor cornell: Civic Agriculture Thomas A. Lyson, 2012-05-22 A engaging analysis of food production in the United States emphasizing that sustainable agricultural development is important to community health. |
| data science minor cornell: A Theory of Indexing Gerard Salton, 1975-01-01 Test results are included which illustrate the effectiveness of the theory. |
| data science minor cornell: ACSM's Nutrition for Exercise Science Dan Benardot, 2024-08-12 An invaluable resource for both exercise science majors and non-majors, ACSM's Nutrition for Exercise Science, 2nd Edition, demystifies the relationship between nutrition and exercise science and prepares you to confidently apply concepts to clinical practice. Drawing on author Dan Benardot's extensive experience as an instructor, scientist, this engaging, authoritative text delivers an evidence-based yet accessible exploration of how nutrition impacts various aspects of active populations, from general health to muscle development, exercise recovery, injury prevention, and psychological well-being. Real-world examples and case studies bring difficult concepts to life, equipping you with the knowledge and confidence to support the nutritional needs of active populations throughout your healthcare career. |
| data science minor cornell: School Safety and Violence Prevention Matthew J. Mayer, Shane R. Jimerson, 2019 This timely book presents a data-driven approach to preventing and responding to school violence. As school violence receives increasing attention across the nation, the application of scientific knowledge is critical. For maximum effectiveness, transdisciplinary teams should use school data, logic models, and theories of change to design, implement, and evaluate interventions. Collaboration among key stakeholders is also necessary to address both structural and systemic barriers to success with violence prevention. With concrete methods for promoting safety in primary and secondary educational settings, this book will engage and enable school faculty, counselors, administrators, and other partners to better understand areas of common interest and learn how to work together more effectively. |
Data and Digital Outputs Management Plan (DDOMP)
Data and Digital Outputs Management Plan (DDOMP)
Building New Tools for Data Sharing and Reuse through a …
Jan 10, 2019 · The SEI CRA will closely link research thinking and technological innovation toward accelerating the full path of discovery-driven data use …
Open Data Policy and Principles - Belmont Forum
The data policy includes the following principles: Data should be: Discoverable through catalogues and search engines; Accessible as open …
Belmont Forum Adopts Open Data Principles for Environme…
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Belmont Forum Data Accessibility Statement an…
The DAS encourages researchers to plan for the longevity, reusability, and stability of the data attached to their research publications and results. …
Tianyi Shi - Cornell University
657 Frank H.T. Rhodes Hall, Cornell University, ts777@cornell.edu Ithaca, NY, 14853, USA https://people.cam.cornell.edu/ ts777 Research Interests Numerical analysis, numerical linear …
MAUREEN R. WALLER EDUCATION - publicpolicy.cornell.edu
B.A. in Political Science, Minor in Philosophy (Summa Cum Laude) 1989 EMPLOYMENT Cornell University, Brooks School of Public Policy and Sociology Full Professor 2021-present Cornell …
division of nutritional sciences - ecommons.cornell.edu
UNDERGRADUATE MINOR PROGRAMS Nutrition and Health: The Division of Nutritional Sciences (DNS) offers the Nutrition and Health minor to Cornell students who are not in our …
Fiber Science Minor - human.cornell.edu
will be notified, and your final transcript will indicate that you are earned a minor in Fiber Science. Questions should be addressed to the FSAD Undergraduate Coordinator or the Director of …
Actuarial Studies within the Biometry and Statistics and …
Statistical Methods. The following Cornell courses have been pre-approved by the CAS and SOA to be applied for VEE credit: Economics: ECON 1110 & 1120 or ECON 3010 & 3020 …
Table of Contents - Cornell CALS
Minor in Applied Economics and Management ... computer applications in process control and data acquisition, energy conservation through ... Cornell has a long tradition of excellence in …
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human dimensions of natural Neurobiology and Behavior • • musicology molecular nutrition ishery and aquatic science evaluation risk analysis and management decision making [M.
School of Operations Research and Information Engineering
Computer Science, Information Science, Mathematics, Finance, Statistics, and many other quantitative disciplines. The main objectives of the ORIE MEng program at Cornell are to …
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Minor Field MINOR SUBJECT • minor concentration gradschool.cornell.edu . Fields of Study, Subjects, and Concentrations—Fall 2021 . Aerospace Engineering . AEROSPACE …
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addition to units applied toward major requirements or another minor. Successful completion of the minor is indicated on the transcript and diploma. CPA Exam and Licensing Information on …
William R. Hobbs - hobbs.human.cornell.edu
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Sep 20, 2024 · The three Masters Programs in PHS, which include the Master of Science in Biostatistics & Data Science, the Master of Science in Health informatics, and the Master of …
202 4 - Cornell College of Human Ecology
Field of Nutrition Graduate Student Handbook: Master’s Program 6 NS 6500 (3 credits, spring) Public Health Nutrition NS 6140 (3 credits, fall) Topics in Maternal and Child Nutrition NS 6190 …
Bayesian functional data analysis in astronomy - arXiv.org
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FORECASTING WINTER ROAD CONDITIONS: A DATA-DRIVEN …
FORECASTING WINTER ROAD CONDITIONS: A DATA-DRIVEN APPROACH A Thesis Presented to the Faculty of the Graduate School of Cornell University In Partial Fulfillment of …
MBA WITH A comprehensive program to learn new cutting …
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Longqi Yang - Department of Computer Science
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Claudia Goldin Named 2023 Winner of Nobel Prize in Economics
Data Science Minor. Moreover, some students may wish to explore data science. skills, uses, and impacts outside of the economics major. through the data science minor. This relatively new …
MINOR IN ELECTRICAL AND COMPUTER ENGINEERING
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demography, economics, law, political science, and sociology to understand government policy. Using data analysis techniques, students learn how to measure the magnitude of policy …
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Jennifer became fascinated with science and its application to the natural world. Upon graduating, Jennifer scored an opportunity to work with Dr. Boersma on Magellanic penguins in Patagonia. …
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The Applied Exercise Science Minor student intent form
The Applied Exercise Science Minor Student Intent Form As soon as you decide to complete the Applied Exercise Science Minor, please complete this form and hand in to the Academic …
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Weill Cornell Clinical & Translational Science Center (NS 4060) Study abroad programs with a public health focus/internship (NS 4060) 3. ... Transcripts, and Metabolism: Big Data in …
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Cornell University in the spring of 2015. They cover the basic theory of convex sets and functions, several avors of duality, a variety of optimization algorithms (with a focus on nonsmooth …
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the minor, you are eligible to have your minor requirements certified by the Department of Computer Science. Complete the form on the second page of this document: Application to …
Master of Science Programs in Population Health Sciences
Sep 4, 2024 · The three Masters Programs in PHS, which include the Master of Science in Biostatistics & Data Science, the Master of Science in Health informatics, and the Master of …
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The future of data(base) education: Is the cow book dead?
graduate degrees at the intersection of computer science, network science, and data science, as well as the Penn’s MSE in Data Science. He also co-developed the curriculum of the …
CURRICULUM VITAE - pingali.dyson.cornell.edu
1982 Ph.D. in Economics (Minor in Statistics), North Carolina State University, Raleigh, North Carolina. 1977 M. A. (Hons.) in Economics (5-year program), Birla Institute of Technology and …
MASTER IN FINANCE CLASS OF 2023 RESUME BOOK
Applications, Statistical Analysis of Financial Data, etc. New York University Shanghai . Shanghai, China. Bachelor of Science in Business and Finance (Hons), Double Minor in Mathematics …
