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| cornell data science minor: 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 minor: 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 minor: 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. |
| cornell data science minor: Architectural Robotics Keith Evan Green, 2016-02-10 How a built environment that is robotic and interactive becomes an apt home to our restless, dynamic, and increasingly digital society. The relationship of humans to computers can no longer be represented as one person in a chair and one computer on a desk. Today computing finds its way into our pockets, our cars, our appliances; it is ubiquitous—an inescapable part of our everyday lives. Computing is even expanding beyond our devices; sensors, microcontrollers, and actuators are increasingly embedded into the built environment. In Architectural Robotics, Keith Evan Green looks toward the next frontier in computing: interactive, partly intelligent, meticulously designed physical environments. Green examines how these “architectural robotic” systems will support and augment us at work, school, and home, as we roam, interconnect, and age. Green tells the stories of three projects from his research lab that exemplify the reconfigurable, distributed, and transfigurable environments of architectural robotics. The Animated Work Environment is a robotic work environment of shape-shifting physical space that responds dynamically to the working life of the people within it; home+ is a suite of networked, distributed “robotic furnishings” integrated into existing domestic and healthcare environments; and LIT ROOM offers a simulated environment in which the physical space of a room merges with the imaginary space of a book, becoming “a portal to elsewhere.” How far beyond workstations, furniture, and rooms can the environments of architectural robotics stretch? Green imagines scaled-up neighborhoods, villages, and metropolises composed of physical bits, digital bytes, living things, and their hybrids. Not global but local, architectural robotics grounds computing in a capacious cyber-physical home. |
| cornell data science minor: 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 minor: 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 minor: 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 minor: 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. |
| cornell data science minor: 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. |
| cornell data science minor: 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 minor: Politics in Hard Times Peter Alexis Gourevitch, 1986 In Politics in Hard Times, Peter Gourevitch explores the common political factors that shape economic policy choices. He focuses on three periods of economic crisis--1873-1896, 1929-1949, and 1971 to the present--and compares policy choices made in Britain, France, Germany, Sweden, and the United States. |
| cornell data science minor: 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. |
| cornell data science minor: 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. |
| cornell data science minor: God Without the Supernatural Peter Forrest, 1996 Peter Forrest expounds a program of best-explanation apologetics. He contends that since the existence of God would provide the best possible explanation of various facts, those facts support theism. Among the facts cited are the suitability of the universe for life, the regularity of the universe, the human capacity for intellectual progress, the experience of a moral order, and various forms of beauty. The beauty that interests Forrest as evidence for the existence of God includes sensuous beauty; the beauty of the natural order, as revealed by the sciences; and the beauty of necessity discovered by mathematicians. In addressing the need for an adequate motive for creation, Forrest conjectures that God created the universe for embodied persons not for their life on earth alone but also for an afterlife. Forrest acknowledges the speculative nature of such an account. He suggests that philosophical speculation is also required to defend theism against the charge that it is too extravagant a hypothesis to be warranted. Providing a speculative defense against the argument from evil, he explains how such speculations can be used to support best-explanation arguments without the conclusions themselves being rendered purely speculative. |
| cornell data science minor: 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 minor: 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 minor: 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 minor: 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. |
| cornell data science minor: 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. |
| cornell data science minor: 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. |
| cornell data science minor: The Foundations of Program Verification Jacques Loeckx, Kurt Sieber, Ryan D. Stansifer, 1987 The Foundations of Program Verification Second Edition Jacques Loeckx and Kurt Sieber Fachbereich informatik Universität des Saariandes, Saarbrücken, Germany In collaboration with Ryan D. Stansifer Department of Computer Science Cornell University, USA This revised edition provides a precise mathematical background to several program verification techniques. It concentrates on those verification methods that have now become classic, such as the inductive assertions method of Floyd, the axiomatic method of Hoare, and Scott‘s fixpoint induction. The aim of the book is to present these different verification methods in a simple setting and to explain their mathematical background in particular the problems of correctness and completeness of the different methods are discussed in some detail and many helpful examples are included. Contents Authors’ Preface Part A: Preliminaries Mathematical Preliminaries Predicate Logic Part B: Semantics of Programming Languages Three Simple Programming Languages Fixpoints in Complete Partial Orders Denotational Semantics Part C: Program Verification Methods Correctness of Programs The Classical Methods of Floyd The Axiomatic Method of Hoare Verification Methods Based on Denotational Semantics LCF A Logic for Computable Functions Part D: Prospects An Overview of Further Developments Bibliography Index Review of the First Edition ‘… one of the better books currently available which introduces program verification.’ G. Bunting, University College Cardiff University Computing |
| cornell data science minor: 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 minor: JFLAP Susan H. Rodger, Thomas W. Finley, 2006 JFLAP: An Interactive Formal Languages and Automata Package is a hands-on supplemental guide through formal languages and automata theory. JFLAP guides students interactively through many of the concepts in an automata theory course or the early topics in a compiler course, including the descriptions of algorithms JFLAP has implemented. Students can experiment with the concepts in the text and receive immediate feedback when applying these concepts with the accompanying software. The text describes each area of JFLAP and reinforces concepts with end-of-chapter exercises. In addition to JFLAP, this guide incorporates two other automata theory tools into JFLAP: JellRap and Pate. |
| cornell data science minor: 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. |
| cornell data science minor: 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 minor: 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 minor: 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. |
| cornell data science minor: 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. |
| cornell data science minor: A History of the Warfare of Science with Theology in Christendom Andrew Dickson White, 1898 |
| cornell data science minor: 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. |
| cornell data science minor: Pigeons and Doves of the World Derek Goodwin, 1977 |
| cornell data science minor: Guidelines for Determining Flood Flow Frequency Water Resources Council (U.S.). Hydrology Committee, 1975 |
| cornell data science minor: Creating Language Morten H. Christiansen, Nick Chater, 2016-03-18 A work that reveals the profound links between the evolution, acquisition, and processing of language, and proposes a new integrative framework for the language sciences. Language is a hallmark of the human species; the flexibility and unbounded expressivity of our linguistic abilities is unique in the biological world. In this book, Morten Christiansen and Nick Chater argue that to understand this astonishing phenomenon, we must consider how language is created: moment by moment, in the generation and understanding of individual utterances; year by year, as new language learners acquire language skills; and generation by generation, as languages change, split, and fuse through the processes of cultural evolution. Christiansen and Chater propose a revolutionary new framework for understanding the evolution, acquisition, and processing of language, offering an integrated theory of how language creation is intertwined across these multiple timescales. Christiansen and Chater argue that mainstream generative approaches to language do not provide compelling accounts of language evolution, acquisition, and processing. Their own account draws on important developments from across the language sciences, including statistical natural language processing, learnability theory, computational modeling, and psycholinguistic experiments with children and adults. Christiansen and Chater also consider some of the major implications of their theoretical approach for our understanding of how language works, offering alternative accounts of specific aspects of language, including the structure of the vocabulary, the importance of experience in language processing, and the nature of recursive linguistic structure. |
| cornell data science minor: 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 |
| cornell data science minor: 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. |
| cornell data science minor: Naked Agency Naminata Diabate, 2020-03-06 Across Africa, mature women have for decades mobilized the power of their nakedness in political protest to shame and punish male adversaries. This insurrectionary nakedness, often called genital cursing, owes its cultural potency to the religious belief that spirits residing in women's bodies can be unleashed to cause misfortune in their targets, including impotence, disease, and death. In Naked Agency, Naminata Diabate analyzes these collective female naked protests in Africa and beyond to broaden understandings of agency and vulnerability. Drawing on myriad cultural texts from social media and film to journalism and fiction, Diabate uncovers how women create spaces of resistance during socio-political duress, including such events as the 2011 protests by Ivoirian women in Côte d’Ivoire and Paris as well as women's disrobing in Soweto to prevent the destruction of their homes. Through the concept of naked agency, Diabate explores fluctuating narratives of power and victimhood to challenge simplistic accounts of African women's helplessness and to show how they exercise political power in the biopolitical era. |
| cornell data science minor: Birth Control Battles Melissa J. Wilde, 2019-12-17 Conservative and progressive religious groups fiercely disagree about issues of sex and gender. But how did we get here? Melissa J. Wilde shows how today’s modern divisions began in the 1930s in the public battles over birth control and not for the reasons we might expect. By examining thirty of America’s most prominent religious groups—from Mormons to Methodists, Southern Baptists to Seventh Day Adventists, and many others—Wilde contends that fights over birth control had little do with sex, women’s rights, or privacy. Using a veritable treasure trove of data, including census and archival materials and more than 10,000 articles, statements, and sermons from religious and secular periodicals, Wilde demonstrates that the push to liberalize positions on contraception was tied to complex views of race, immigration, and manifest destiny among America’s most prominent religious groups. Taking us from the Depression era, when support for the eugenics movement saw birth control as an act of duty for less desirable groups, to the 1960s, by which time most groups had forgotten the reasons behind their stances on contraception (but not the concerns driving them), Birth Control Battles explains how reproductive politics divided American religion. In doing so, this book shows the enduring importance of race and class for American religion as it rewrites our understanding of what it has meant to be progressive or conservative in America. |
| cornell data science minor: 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. |
| cornell data science minor: Shaping the Future of Work Thomas A. Kochan, Lee Dyer, 2020-11-24 This book provides a clear roadmap for the roles workers and leaders in business, labor, education, and government must play in building a new social contract for all to prosper. It is a call to action for a collaborative effort to develop both high-quality jobs and strong, successful businesses while simultaneously overcoming the deep social and economic divisions that are all too apparent in society today. Written by two leading and trusted experts in the field of employment and work from MIT and Cornell University, this book is a practical, action-oriented guide. Readers will feel empowered to take actions needed to shape a better future of work for themselves, their employees, their co-workers, and others they may represent. It emphasizes the need to fix America's broken social contract and reimagine a new one. The most important message of this book is that we have the ability to shape the work of the future by harnessing the power of new technologies. The book is essential reading for business executives, labor leaders and workforce advocates, government policy makers, politicians, and anyone who is interested in using emerging knowledge and technologies to drive innovation, creating high-quality jobs, and shaping a more broadly shared prosperity. |
| cornell data science minor: Wired Shut Tarleton Gillespie, 2009-09-18 How the shift toward technical copy protection in the battle over digital copyright depends on changing political and commercial alignments that are profoundly shaping the future of cultural expression in a digital age. While the public and the media have been distracted by the story of Napster, warnings about the evils of piracy, and lawsuits by the recording and film industries, the enforcement of copyright law in the digital world has quietly shifted from regulating copying to regulating the design of technology. Lawmakers and commercial interests are pursuing what might be called a technical fix: instead of specifying what can and cannot be done legally with a copyrighted work, this new approach calls for the strategic use of encryption technologies to build standards of copyright directly into digital devices so that some uses are possible and others rendered impossible. In Wired Shut, Tarleton Gillespie examines this shift to technical copy protection and its profound political, economic, and cultural implications. Gillespie reveals that the real story is not the technological controls themselves but the political, economic, and cultural arrangements being put in place to make them work. He shows that this approach to digital copyright depends on new kinds of alliances among content and technology industries, legislators, regulators, and the courts, and is changing the relationship between law and technology in the process. The film and music industries, he claims, are deploying copyright in order to funnel digital culture into increasingly commercial patterns that threaten to undermine the democratic potential of a network society. In this broad context, Gillespie examines three recent controversies over digital copyright: the failed effort to develop copy protection for portable music players with the Strategic Digital Music Initiative (SDMI); the encryption system used in DVDs, and the film industry's legal response to the tools that challenged them; and the attempt by the FCC to mandate the broadcast flag copy protection system for digital television. In each, he argues that whether or not such technical constraints ever succeed, the political alignments required will profoundly shape the future of cultural expression in a digital age. |
Data Science Minor Cornell (book) - arc…
a minor in computer science He is the author of the popular Data Science Cheatsheet …
Requirements for a Minor in Biometry …
To complete the program, students must submit a minor program of study form. …
Minor in Computer Science - rproxy.c…
To Apply for a Computer Science Minor: • Once you have completed all of the …
ORIE 6340: Mathematics of Da…
1Let us de ne the algebraic dimension of a set to be the dimension of the smallest …
Data Science Minor Cornell (book) - archive.ncarb.org
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 …
Requirements for a Minor in Biometry and Statistics - Cornell …
To complete the program, students must submit a minor program of study form. Each student will retain a copy of the form and will be responsible for planning the minor program of study in …
Minor in Computer Science - rproxy.cs.cornell.edu
To Apply for a Computer Science Minor: • Once you have completed all of the courses for the minor, or are in your final semester of study and finishing up the minor, you are eligible to have …
ORIE 6340: Mathematics of Data Science - Cornell University
1Let us de ne the algebraic dimension of a set to be the dimension of the smallest subspace containing that set. In general, feasible sets usually have high algebraic dimension, but low …
Field Manual, Graduate Field of Statistics
PhD students will be required to select major and minor concentrations at the time that they nominate committee members in Student Center, and for each major and minor subject they …
Cornell Certificate Programs in Data Science and …
Three new data science and visualization professional certificate programs were announced by the Cornell University Center for Advanced Computing (CAC) at the International Conference …
STATISTICS AND DATA SCIENCE MINOR REQUIREMENTS
Students with credit for MATH 215 or 310 or 410 can use this credit to complete part (d) of the minor though they are not currently available through UArizona. 6 Note that this course cannot …
Adit Jain – Resume
2023-2025 Data Science Fellowship, Cornell Center for Social Sciences. 2022 Institute Silver Medalist, IIT Guwahati, Graduated top of the class in a batch of 144 students. 2020 - 21 …
Application to Certify Completion of an Arts Concentration
Once you have completed all of the courses for the minor, or are in your final semester of study and finishing up the minor, you are eligible to have your minor requirements certified by the …
MINOR IN ELECTRICAL AND COMPUTER ENGINEERING
Feb 7, 2022 · By submitting this information, you certify that the data supplied on this form is accurate and complies with the terms of the ECE minor program.
Interdiciplinary Data Science Minor Information Handout
“Data Science Minor” contains six course (18 Credits), offered jointly by the Center for Applied Data Science (CADS) and Department of Computer Science at WSSU. This Minor would be …
Zipei (Raye) Liu
Using machine learning and data mining to develop new clustering algorithms for sparse high-dimension datasets like MIMIC-III and SPARCS database to divide patients into homogenous …
Cornell Data Science Minor (book) - goramblers.org
Cornell Data Science Minor: Foundations of Data Science Avrim Blum,John Hopcroft,Ravindran Kannan,2020-01-23 This book provides an introduction to the mathematical and algorithmic …
Minor in Data Science - catalog.csusb.edu
The Data Science minor is designed to provide students with hands-on experience of the concepts and techniques used in data science, including statistical methodology and data …
Data Science DATA SCIENCE CS 277 Algorithms and Data …
To complete the Minor, students must complete three core courses plus three supporting courses which cover sufficient data science content from an approved list of courses offered from a …
Minor in Statistics and Data Science - MIT Course Catalog
Statistics, the science of making inferences and decisions under uncertainty, is becoming increasingly relevant in the modern world due to the widespread availability of and access to …
Data Science Minor v2 - College of Liberal Arts and Sciences
2 eligible department-approved electives (discussed in more detail below).
Fiber Science Minor - human.cornell.edu
During the semester in which you are planning to graduate, submit an Application to Graduate with a Minor in Fiber Science form, include an unofficial copy of your transcript by March 15th …
Minor in Data Science and Artificial Intelligence - IIT Dharwad
Students interested in this minor are required to take mandatory/core courses. To complete the credits requirements for minors, students need to choose among the electives listed in this …
Data Science - e-catalog.sewanee.edu
Subject to department approval, one data-intensive course from outside the department may be substituted for either (but not both) of these elective requirements.
