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| cornell data science masters: 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 masters: 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 masters: 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 masters: Sales Growth McKinsey & Company Inc., Thomas Baumgartner, Homayoun Hatami, Maria Valdivieso de Uster, 2016-04-08 The challenges facing today's sales executives and their organizations continue to grow, but so do the expectations that they will find ways to overcome them and drive consistent sales growth. There are no simple solutions to this situation, but in this thoroughly updated Second Edition of Sales Growth, experts from McKinsey & Company build on their practical blueprint for achieving this goal and explore what world-class sales executives are doing right now to find growth and capture it—as well as how they are creating the capabilities to keep growing in the future. Based on discussions with more than 200 of today's most successful global sales leaders from a wide array of organizations and industries, Sales Growth puts the experiences of these professionals in perspective and offers real-life examples of how they've overcome the challenges encountered in the quest for growth. The book, broken down into five overarching strategies for successful sales growth, shares valuable lessons on everything from how to beat the competition by looking forward, to turning deep insights into simple messages for the front line. Page by page, you'll learn how sales executives are digging deeper than ever to find untapped growth, maximizing emerging markets opportunities, and powering growth through digital sales. You'll also discover what it takes to find big growth in big data, develop the right sales DNA in your organization, and improve channel performance. Three new chapters look at why presales deserve more attention, how to get the most out of marketing, and how technology and outsourcing could entirely reshape the sales function. Twenty new standalone interviews have been added to those from the first edition, so there are now in-depth insights from sales leaders at Adidas, Alcoa, Allianz, American Express, BMW, Cargill, Caterpillar, Cisco, Coca-Cola Enterprises, Deutsche Bank, EMC, Essent, Google, Grainger, Hewlett Packard Enterprise, Intesa Sanpaolo, Itaú Unibanco, Lattice Engines, Mars, Merck, Nissan, P&G, Pioneer Hi-Bred, Salesforce, Samsung, Schneider Electric, Siemens, SWIFT, UPS, VimpelCom, Vodafone, and Würth. Their stories, as well as numerous case studies, touch on some of the most essential elements of sales, from adapting channels to meet changing customer needs to optimizing sales operations and technology, developing sales talent and capabilities, and effectively leading the way to sales growth. Engaging and informative, this timely book details proven approaches to tangible top-line growth and an improved bottom line. Created specifically for sales executives, it will put you in a better position to drive sales growth in today's competitive market. |
| cornell data science masters: 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 masters: 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 masters: Machines as the Measure of Men Michael Adas, 1989 This new edition of what has become a standard account of Western expansion and technological dominance includes a new preface by the author that discusses how subsequent developments in gender and race studies, as well as global technology and politics, enter into conversation with his original arguments. |
| cornell data science masters: Data Science Careers, Training, and Hiring Renata Rawlings-Goss, 2019-08-02 This book is an information packed overview of how to structure a data science career, a data science degree program, and how to hire a data science team, including resources and insights from the authors experience with national and international large-scale data projects as well as industry, academic and government partnerships, education, and workforce. Outlined here are tips and insights into navigating the data ecosystem as it currently stands, including career skills, current training programs, as well as practical hiring help and resources. Also, threaded through the book is the outline of a data ecosystem, as it could ultimately emerge, and how career seekers, training programs, and hiring managers can steer their careers, degree programs, and organizations to align with the broader future of data science. Instead of riding the current wave, the author ultimately seeks to help professionals, programs, and organizations alike prepare a sustainable plan for growth in this ever-changing world of data. The book is divided into three sections, the first “Building Data Careers”, is from the perspective of a potential career seeker interested in a career in data, the second “Building Data Programs” is from the perspective of a newly forming data science degree or training program, and the third “Building Data Talent and Workforce” is from the perspective of a Data and Analytics Hiring Manager. Each is a detailed introduction to the topic with practical steps and professional recommendations. The reason for presenting the book from different points of view is that, in the fast-paced data landscape, it is helpful to each group to more thoroughly understand the desires and challenges of the other. It will, for example, help the career seekers to understand best practices for hiring managers to better position themselves for jobs. It will be invaluable for data training programs to gain the perspective of career seekers, who they want to help and attract as students. Also, hiring managers will not only need data talent to hire, but workforce pipelines that can only come from partnerships with universities, data training programs, and educational experts. The interplay gives a broader perspective from which to build. |
| cornell data science masters: Evolutionary Patterns and Processes D. R. Lees, Dianne Edwards, 1993 Evolution is the central theme of all biology. Researcarcch in the many branches of evolutionary study continues to flourish. This book, based on a symposium of the Linnean Society, discusses the diversity in currentevolutionary research. It approaches the subject ambitiously and from several angles, bringing ttogether eminent authors from a variety of disciplines paleontologists traditionally with a macroevolutionary bias, neontologists concentrating on microevolutionary processes, and those studying the very essence ofsses and those studying the very essence of evolution the process of speciation in living organisms. Evolutionary Patterns and Processes will appeal to a broad spectrum of professional biologistsworking in such fields as paleontology, population biology, and evolutionary genetics. Biologists will enjoy chapters by Stephen J. Gould, discovering in the much earlier work of Hugo de Vries parallels with his ideas on punctuational evolution; Guy Bush,considering why there are so many small animals; Peter Sheldon, examining detailed fossil trilobite sequences for evidence of microevolutionary processes and considering models of speciation; as well as others dealing with cytological, ecological, and behavioral processes leading to the evolution of new species. None |
| cornell data science masters: 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 masters: Grit Angela Duckworth, 2016-05-03 In this instant New York Times bestseller, Angela Duckworth shows anyone striving to succeed that the secret to outstanding achievement is not talent, but a special blend of passion and persistence she calls “grit.” “Inspiration for non-geniuses everywhere” (People). The daughter of a scientist who frequently noted her lack of “genius,” Angela Duckworth is now a celebrated researcher and professor. It was her early eye-opening stints in teaching, business consulting, and neuroscience that led to her hypothesis about what really drives success: not genius, but a unique combination of passion and long-term perseverance. In Grit, she takes us into the field to visit cadets struggling through their first days at West Point, teachers working in some of the toughest schools, and young finalists in the National Spelling Bee. She also mines fascinating insights from history and shows what can be gleaned from modern experiments in peak performance. Finally, she shares what she’s learned from interviewing dozens of high achievers—from JP Morgan CEO Jamie Dimon to New Yorker cartoon editor Bob Mankoff to Seattle Seahawks Coach Pete Carroll. “Duckworth’s ideas about the cultivation of tenacity have clearly changed some lives for the better” (The New York Times Book Review). Among Grit’s most valuable insights: any effort you make ultimately counts twice toward your goal; grit can be learned, regardless of IQ or circumstances; when it comes to child-rearing, neither a warm embrace nor high standards will work by themselves; how to trigger lifelong interest; the magic of the Hard Thing Rule; and so much more. Winningly personal, insightful, and even life-changing, Grit is a book about what goes through your head when you fall down, and how that—not talent or luck—makes all the difference. This is “a fascinating tour of the psychological research on success” (The Wall Street Journal). |
| cornell data science masters: 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 masters: Culture and Commerce Mukti Khaire, 2017-06-20 Art and business are often described as worlds apart, even diametric opposites. And yet, these realms are close cousins in creative industries where firms bring cultural goods to market, attaching price tags to music, paintings, theater, literature, film, and fashion. Building on theories of value construction and cultural production, Culture and Commerce details the processes by which artistic worth is decoded, translated, and converted to economic value. Mukti Khaire introduces readers to three industry players: creators, producers (who bring to market and distribute cultural goods), and intermediaries (who critique and rave about them). Case studies of firms from Chanel and Penguin to tastemakers like the Pritzker Prize and The Sundance Institute illuminate how these professionals construct a vital value chain. Highlighting the role of pioneer entrepreneurs—who carve out space for radical, new product categories—Khaire illustrates how creative professionals influence our sense of value, shifting consumer behavior and our culture in deep, surprising ways. |
| cornell data science masters: Activists beyond Borders Margaret E. Keck, Kathryn A. Sikkink, 2014-02-15 In Activists beyond Borders, Margaret E. Keck and Kathryn Sikkink examine a type of pressure group that has been largely ignored by political analysts: networks of activists that coalesce and operate across national frontiers. Their targets may be international organizations or the policies of particular states. Historical examples of such transborder alliances include anti-slavery and woman suffrage campaigns. In the past two decades, transnational activism has had a significant impact in human rights, especially in Latin America, and advocacy networks have strongly influenced environmental politics as well. The authors also examine the emergence of an international campaign around violence against women. |
| cornell data science masters: From Solidarity to Geopolitics Tsveta Petrova, 2014-09-22 This book theorizes a mechanism underlying regime-change waves, the deliberate efforts of diffusion entrepreneurs to spread a particular regime and regime-change model across state borders. Why do only certain states and nonstate actors emerge as such entrepreneurs? Why, how, and how effectively do they support regime change abroad? To answer these questions, the book studies the entrepreneurs behind the third wave of democratization, with a focus on the new eastern European democracies - members of the European Union. The study finds that it is not the strongest democracies nor the democracies trying to ensure their survival in a neighborhood of nondemocracies that become the most active diffusion entrepreneurs. It is, instead, the countries where the organizers of the domestic democratic transitions build strong solidarity movements supporting the spread of democracy abroad that do. The book also draws parallels between their activism abroad and their experiences with democratization and democracy assistance at home. |
| cornell data science masters: Sleep for Success! Everything You Must Know About Sleep but Are Too Tired to Ask Dr. James B. Maas, Rebecca S. Robbins, 2011-01-28 Given the present, stress-inducing state of the economy and the world, there has never been a better time to provide a wake-up call on how to relax, get centered, get 8 hours of sleep and be happier and more successful. Recent research has shown us that when we get enough sleep, we are able to accomplish more in less time and with less stress and greater health. We dont need a 26-hour day. With more efficient and effective sleep habits, in our book, 24 hours is more than adequate. Our proposition is simple and compelling. Do you want to be healthier, more productive, energetic, creative, organized, efficient, and constantly expanding your potential? Do you want to be less stressed, happier, have a better relationship with yourself and others, and a deeper sense of well-being? What if you could take a few small steps every day that would enable you to eventually achieve all these things? You can. In fact, its easy. Sleep for Success!, a convincing, psychological approach to changing attitudes and behaviors, is written for anyone who wants to get a great nights sleep, feel wide-awake and be a peak performer all day. It pertains to executives, students, parents, athletes, children and senior citizens. If youre human, chances are that you are at least somewhat sleep deprived. Sleep for Success! can change your life literally overnight. |
| cornell data science masters: Catastrophic Success Alexander B. Downes, 2021-12-15 In Catastrophic Success, Alexander B. Downes compiles all instances of regime change around the world over the past two centuries. Drawing on this impressive data set, Downes shows that regime change increases the likelihood of civil war and violent leader removal in target states and fails to reduce the probability of conflict between intervening states and their targets. As Downes demonstrates, when a state confronts an obstinate or dangerous adversary, the lure of toppling its government and establishing a friendly administration is strong. The historical record, however, shows that foreign-imposed regime change is, in the long term, neither cheap, easy, nor consistently successful. The strategic impulse to forcibly oust antagonistic or non-compliant regimes overlooks two key facts. First, the act of overthrowing a foreign government sometimes causes its military to disintegrate, sending thousands of armed men into the countryside where they often wage an insurgency against the intervener. Second, externally-imposed leaders face a domestic audience in addition to an external one, and the two typically want different things. These divergent preferences place imposed leaders in a quandary: taking actions that please one invariably alienates the other. Regime change thus drives a wedge between external patrons and their domestic protégés or between protégés and their people. Catastrophic Success provides sober counsel for leaders and diplomats. Regime change may appear an expeditious solution, but states are usually better off relying on other tools of influence, such as diplomacy. Regime change, Downes urges, should be reserved for exceptional cases. Interveners must recognize that, absent a rare set of promising preconditions, regime change often instigates a new period of uncertainty and conflict that impedes their interests from being realized. |
| cornell data science masters: Data Feminism Catherine D'Ignazio, Lauren F. Klein, 2020-03-31 A new way of thinking about data science and data ethics that is informed by the ideas of intersectional feminism. Today, data science is a form of power. It has been used to expose injustice, improve health outcomes, and topple governments. But it has also been used to discriminate, police, and surveil. This potential for good, on the one hand, and harm, on the other, makes it essential to ask: Data science by whom? Data science for whom? Data science with whose interests in mind? The narratives around big data and data science are overwhelmingly white, male, and techno-heroic. In Data Feminism, Catherine D'Ignazio and Lauren Klein present a new way of thinking about data science and data ethics—one that is informed by intersectional feminist thought. Illustrating data feminism in action, D'Ignazio and Klein show how challenges to the male/female binary can help challenge other hierarchical (and empirically wrong) classification systems. They explain how, for example, an understanding of emotion can expand our ideas about effective data visualization, and how the concept of invisible labor can expose the significant human efforts required by our automated systems. And they show why the data never, ever “speak for themselves.” Data Feminism offers strategies for data scientists seeking to learn how feminism can help them work toward justice, and for feminists who want to focus their efforts on the growing field of data science. But Data Feminism is about much more than gender. It is about power, about who has it and who doesn't, and about how those differentials of power can be challenged and changed. |
| cornell data science masters: Authentic Happiness Martin Seligman, 2011-01-11 In this important, entertaining book, one of the world's most celebrated psychologists, Martin Seligman, asserts that happiness can be learned and cultivated, and that everyone has the power to inject real joy into their lives. In Authentic Happiness, he describes the 24 strengths and virtues unique to the human psyche. Each of us, it seems, has at least five of these attributes, and can build on them to identify and develop to our maximum potential. By incorporating these strengths - which include kindness, originality, humour, optimism, curiosity, enthusiasm and generosity -- into our everyday lives, he tells us, we can reach new levels of optimism, happiness and productivity. Authentic Happiness provides a variety of tests and unique assessment tools to enable readers to discover and deploy those strengths at work, in love and in raising children. By accessing the very best in ourselves, we can improve the world around us and achieve new and lasting levels of authentic contentment and joy. |
| cornell data science masters: Next Generation Sequencing Lee-Jun C. Wong, 2013-05-31 In recent years, owing to the fast development of a variety of sequencing technologies in the post human genome project era, sequencing analysis of a group of target genes, entire protein coding regions of the human genome, and the whole human genome has become a reality. Next Generation Sequencing (NGS) or Massively Parallel Sequencing (MPS) technologies offers a way to screen for mutations in many different genes in a cost and time efficient manner by deep coverage of the target sequences. This novel technology has now been applied to clinical diagnosis of Mendelian disorders of well characterized or undefined diseases, discovery of new disease genes, noninvasive prenatal diagnosis using maternal blood, and population based carrier testing of severe autosomal recessive disorders. This book covers topics of these applications, including potential limitations and expanded application in the future. |
| cornell data science masters: Introduction to Biostatistics Ronald N. Forthofer, Eun Sul Lee, 2014-05-19 The Biostatistics course is often found in the schools of public Health, medical schools, and, occasionally, in statistics and biology departments. The population of students in these courses is a diverse one, with varying preparedness. Introduction to Biostatistics assumes the reader has at least two years of high school algebra, but no previous exposure to statistics is required. Written for individuals who might be fearful of mathematics, this book minimizes the technical difficulties and emphasizes the importance of statistics in scientific investigation. An understanding of underlying design and analysis is stressed. The limitations of the research, design and analytical techniques are discussed, allowing the reader to accurately interpret results. Real data, both processed and raw, are used extensively in examples and exercises. Statistical computing packages - MINITAB, SAS and Stata - are integrated. The use of the computer and software allows a sharper focus on the concepts, letting the computer do the necessary number-crunching. - Emphasizes underlying statistical concepts more than competing texts - Focuses on experimental design and analysis, at an elementary level - Includes an introduction to linear correlation and regression - Statistics are central: probability is downplayed - Presents life tables and survival analysis - Appendix with solutions to many exercises - Special instructor's manual with solution to all exercises |
| cornell data science masters: 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. |
| cornell data science masters: Revenue Management and Pricing Analytics Guillermo Gallego, Huseyin Topaloglu, 2019-08-14 “There is no strategic investment that has a higher return than investing in good pricing, and the text by Gallego and Topaloghu provides the best technical treatment of pricing strategy and tactics available.” Preston McAfee, the J. Stanley Johnson Professor, California Institute of Technology and Chief Economist and Corp VP, Microsoft. “The book by Gallego and Topaloglu provides a fresh, up-to-date and in depth treatment of revenue management and pricing. It fills an important gap as it covers not only traditional revenue management topics also new and important topics such as revenue management under customer choice as well as pricing under competition and online learning. The book can be used for different audiences that range from advanced undergraduate students to masters and PhD students. It provides an in-depth treatment covering recent state of the art topics in an interesting and innovative way. I highly recommend it. Professor Georgia Perakis, the William F. Pounds Professor of Operations Research and Operations Management at the Sloan School of Management, Massachusetts Institute of Technology, Cambridge, Massachusetts. “This book is an important and timely addition to the pricing analytics literature by two authors who have made major contributions to the field. It covers traditional revenue management as well as assortment optimization and dynamic pricing. The comprehensive treatment of choice models in each application is particularly welcome. It is mathematically rigorous but accessible to students at the advanced undergraduate or graduate levels with a rich set of exercises at the end of each chapter. This book is highly recommended for Masters or PhD level courses on the topic and is a necessity for researchers with an interest in the field.” Robert L. Phillips, Director of Pricing Research at Amazon “At last, a serious and comprehensive treatment of modern revenue management and assortment optimization integrated with choice modeling. In this book, Gallego and Topaloglu provide the underlying model derivations together with a wide range of applications and examples; all of these facets will better equip students for handling real-world problems. For mathematically inclined researchers and practitioners, it will doubtless prove to be thought-provoking and an invaluable reference.” Richard Ratliff, Research Scientist at Sabre “This book, written by two of the leading researchers in the area, brings together in one place most of the recent research on revenue management and pricing analytics. New industries (ride sharing, cloud computing, restaurants) and new developments in the airline and hotel industries make this book very timely and relevant, and will serve as a critical reference for researchers.” Professor Kalyan Talluri, the Munjal Chair in Global Business and Operations, Imperial College, London, UK. |
| cornell data science masters: 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 masters: Roundtable on Data Science Postsecondary Education National Academies of Sciences, Engineering, and Medicine, Division of Behavioral and Social Sciences and Education, Division on Engineering and Physical Sciences, Board on Science Education, Computer Science and Telecommunications Board, Committee on Applied and Theoretical Statistics, Board on Mathematical Sciences and Analytics, 2020-10-02 Established in December 2016, the National Academies of Sciences, Engineering, and Medicine's Roundtable on Data Science Postsecondary Education was charged with identifying the challenges of and highlighting best practices in postsecondary data science education. Convening quarterly for 3 years, representatives from academia, industry, and government gathered with other experts from across the nation to discuss various topics under this charge. The meetings centered on four central themes: foundations of data science; data science across the postsecondary curriculum; data science across society; and ethics and data science. This publication highlights the presentations and discussions of each meeting. |
| cornell data science masters: Analytics and Knowledge Management Suliman Hawamdeh, Hsia-Ching Chang, 2018-08-06 The process of transforming data into actionable knowledge is a complex process that requires the use of powerful machines and advanced analytics technique. Analytics and Knowledge Management examines the role of analytics in knowledge management and the integration of big data theories, methods, and techniques into an organizational knowledge management framework. Its chapters written by researchers and professionals provide insight into theories, models, techniques, and applications with case studies examining the use of analytics in organizations. The process of transforming data into actionable knowledge is a complex process that requires the use of powerful machines and advanced analytics techniques. Analytics, on the other hand, is the examination, interpretation, and discovery of meaningful patterns, trends, and knowledge from data and textual information. It provides the basis for knowledge discovery and completes the cycle in which knowledge management and knowledge utilization happen. Organizations should develop knowledge focuses on data quality, application domain, selecting analytics techniques, and on how to take actions based on patterns and insights derived from analytics. Case studies in the book explore how to perform analytics on social networking and user-based data to develop knowledge. One case explores analyze data from Twitter feeds. Another examines the analysis of data obtained through user feedback. One chapter introduces the definitions and processes of social media analytics from different perspectives as well as focuses on techniques and tools used for social media analytics. Data visualization has a critical role in the advancement of modern data analytics, particularly in the field of business intelligence and analytics. It can guide managers in understanding market trends and customer purchasing patterns over time. The book illustrates various data visualization tools that can support answering different types of business questions to improve profits and customer relationships. This insightful reference concludes with a chapter on the critical issue of cybersecurity. It examines the process of collecting and organizing data as well as reviewing various tools for text analysis and data analytics and discusses dealing with collections of large datasets and a great deal of diverse data types from legacy system to social networks platforms. |
| cornell data science masters: Research for the Public Good Elaine Wethington, Rachel Elizabeth Dunifon, 2012 Translational research links scientific findings with programs and policies that improve human health and well-being. It includes research that evaluates interventions or policies for efficacy and effectiveness, as well as research that applies field experience to future development of basic theory and its applications. Although translational research has traditionally emphasised biomedical studies with one type of application (i.e., individual-level intervention to treat disease), the concept has expanded to include various sciences and many types of applications. Social and behavioural sciences now often contribute to public- and individual-level interventions that promote education, disease prevention, health care delivery, health care access, and more. This broader, more inclusive approach to translational research has gained popularity and been promoted by the National Institutes of Health, the Centers for Disease Control, medical centers, and university programs. This book demonstrates how emerging methods of translational research can be applied to important topics of interest to social and behavioural scientists. Accessible models and real-world case studies are provided to help bridge the gaps among research, policy, and practice. |
| cornell data science masters: Agrobiodiversity Karl S. Zimmerer, Stef De Haan, 2023-10-31 Experts discuss the challenges faced in agrobiodiversity and conservation, integrating disciplines that range from plant and biological sciences to economics and political science. Wide-ranging environmental phenomena—including climate change, extreme weather events, and soil and water availability—combine with such socioeconomic factors as food policies, dietary preferences, and market forces to affect agriculture and food production systems on local, national, and global scales. The increasing simplification of food systems, the continuing decline of plant species, and the ongoing spread of pests and disease threaten biodiversity in agriculture as well as the sustainability of food resources. Complicating the situation further, the multiple systems involved—cultural, economic, environmental, institutional, and technological—are driven by human decision making, which is inevitably informed by diverse knowledge systems. The interactions and linkages that emerge necessitate an integrated assessment if we are to make progress toward sustainable agriculture and food systems. This volume in the Strüngmann Forum Reports series offers insights into the challenges faced in agrobiodiversity and sustainability and proposes an integrative framework to guide future research, scholarship, policy, and practice. The contributors offer perspectives from a range of disciplines, including plant and biological sciences, food systems and nutrition, ecology, economics, plant and animal breeding, anthropology, political science, geography, law, and sociology. Topics covered include evolutionary ecology, food and human health, the governance of agrobiodiversity, and the interactions between agrobiodiversity and climate and demographic change. |
| cornell data science masters: Developmental Psychobiology Elliott M. Blass, 2001-09-30 This volume delves into the mechanisms and early principles of developmental psychobiology, neurobiology, and behavioral ecology. It reflects the three mainstreams of the discipline of proximal and biographical influences: neural mediation; development and flexibility and functionally significant changes that occur in the habitats of many species; as well as how connections have been forged among the disciplines. |
| cornell data science masters: Supporting Research and Data Analysis in NASA's Science Programs National Research Council, Division on Engineering and Physical Sciences, Commission on Physical Sciences, Mathematics, and Applications, Space Studies Board, Task Group on Research and Analysis Programs, 1998-11-16 Effective science, clearly a mandate for the National Aeronautics and Space Administration (NASA), involves asking significant questions about the physical and biological world and seeking definitive answers. Its product is new knowledge that has value to the nation. NASA's flight projects are highly visible and usually the most costly elements of this process, but they are only a part of the science enterprise. Flight projects are founded on research that defines clear scientific goals and questions, designs missions to address those questions, and develops the required technologies to accomplish the missions. This research is funded primarily by NASA's research and analysis (R&A) programs. Data from flight projects are transformed into knowledge through analysis and synthesis-research that is funded both by R&A and by the data analysis (DA) portion of mission operations and data analysis (MO&DA) programs. R&A and DA programs are the subject of this report and are grouped for convenience under the heading of research and data analysis (R&DA). |
| cornell data science masters: 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 masters: GRE Prep by Magoosh Magoosh, Chris Lele, Mike McGarry, 2016-12-07 Magoosh gives students everything they need to make studying a breeze. We've branched out from our online GRE prep program and free apps to bring you this GRE prep book. We know sometimes you don't have easy access to the Internet--or maybe you just like scribbling your notes in the margins of a page! Whatever your reason for picking up this book, we're thrilled to take this ride together. In these pages you'll find: --Tons of tips, FAQs, and GRE strategies to get you ready for the big test. --More than 130 verbal and quantitative practice questions with thorough explanations. --Stats for each practice question, including its difficulty rating and the percent of students who typically answer it correctly. We want you to know exactly how tough GRE questions tend to be so you'll know what to expect on test day. --A full-length practice test with an answer key and detailed explanations. --Multiple practice prompts for the analytical writing assessment section, with tips on how to grade each of your essays. If you're not already familiar with Magoosh online, here's what you need to know: --Our materials are top-notch--we've designed each of our practice questions based on careful analysis of millions of students' answers. --We really want to see you do your best. That's why we offer a score improvement guarantee to students who use the online premium Magoosh program. --20% of our students earn a top 10% score on the GRE. --Magoosh students score on average 12 points higher on the test than all other GRE takers. --We've helped more than 1.5 million students prepare for standardized tests online and with our mobile apps. So crack open this book, join us online at magoosh.com, and let's get you ready to rock the GRE! |
| cornell data science masters: Computational Biomedicine Peter Coveney, Vanessa Díaz-Zuccarini, Peter Hunter, Marco Viceconti, 2014-06 Computational Biomedicine unifies the different strands of a broad-ranging subject to demonstrate the power of a tool that has the potential to revolutionise our understanding of the human body, and the therapeutic strategies available to maintain and protect it. |
| cornell data science masters: Sequences and Power Series , |
| cornell data science masters: Talking to the Girls Edvige Giunta, Mary Anne Trasciatti, 2022-03-22 Candid and intimate accounts of the factory-worker tragedy that shaped American labor rights On March 25, 1911, a fire broke out on the eighth floor of the Asch Building in Greenwich Village, New York. The top three floors housed the Triangle Waist Company, a factory where approximately 500 workers, mostly young immigrant women and girls, labored to produce fashionable cotton blouses, known as “waists.” The fire killed 146 workers in a mere 15 minutes but pierced the perpetual conscience of citizens everywhere. The Asch Building had been considered a modern fireproof structure, but inadequate fire safety regulations left the workers inside unprotected. The tragedy of the fire, and the resulting movements for change, were pivotal in shaping workers' rights and unions. A powerful collection of diverse voices, Talking to the Girls: Intimate and Political Essays on the Triangle Fire brings together stories from writers, artists, activists, scholars, and family members of the Triangle workers. Nineteen contributors from across the globe speak of a singular event with remarkable impact. One hundred and eleven years after the tragic incident, Talking to the Girls articulates a story of contemporary global relevance and stands as an act of collective testimony: a written memorial to the Triangle victims. |
| cornell data science masters: 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 masters: Mechanisms of Differentiation Paul B. Fisher, 1990-09-20 Significant recent advances in cell culture technology now permit a detailed biochemical and molecular analysis of differentiation in both normal and tumor cells. These studies are important in attempting to understand the complex factors involved in normal growth and development, as well as the abnormalities associated with carcinogenesis. Mechanisms of Differentiation, Volumes I and II, is comprised of review chapters addressing various topics of current interest in this important area of research. Topics discussed include genes controlling differentiation, changes in gene expression during differentiation, induction of differentiation, induction of differentiation as a mode of action of chemotherapeutic agents, and the effect of cell shape, growth factors and differentiation modulating agents on the differentiated cell phenotype. Mechanisms of Differentiation is valuable to researchers involved in differentiation and development, carcinogenesis, cell biology, chemotherapy, and immunology. |
| cornell data science masters: Molecular Approaches to Crop Improvement Elizabeth S. Dennis, Danny J. Llewellyn, 2012-12-06 Although plant genes were first isolated only some twelve years ago and transfer of foreign DNA into tobacco cells first demonstrated some eight years ago, the application and extension of biotechnology to agricultural problems has already led to the field-testing of genetically modified crop plants. The promise of tailor-made plants containing resistance to pests or diseases as well as many other desirable characteristics has led to the almost compulsory incorporation of molecular biology into the research programs of chemical and seed companies as well as Governmental agricultural agencies. With the routine transformation of rice and the early evidence of transformation of maize the possibility of the world's major cereal crops being modified for improved nutritional value or resistance characteristics is now likely in the next few years. The increasing number of cloned plant genes and the increasing sophistication of our knowledge of the major developmental and biochemi cal pathways in plants should eventually allow us to engineer crop plants with higher yields and with less detrimental impact on the environment than now occurs in our current high input agricultural systems. This book draws together many of the expanding areas of plant molecular biology and genetic engineering that will make a substantial contribution to the development of the more productive and efficient crop plants that the world's farmers will be planting in the next decade. |
| cornell data science masters: Doctoral Dissertations in Musicology American Musicological Society, International Musicological Society, 1984 |
| cornell data science masters: The Fuzzy and the Techie Scott Hartley, 2018 A leading venture capitalist offers surprising revelations on who will be driving innovation in the years to come. |
在康奈尔大学 (Cornell University) 就读是种怎样的体验？ - 知乎
但这里就分享一个好玩的经历吧，这件事我觉得真心是Cornell这样的名校才能给我的，而且是我看完《阿拉伯的劳伦斯》后一直神往的地方，那就是我在读书期间获得了沙特阿拉伯政府全额奖 …
大家怎么看位于纽约市的 Cornell Tech（康奈尔科技校区）项目？
因为我在Cornell本部也读过，应该比较有发言权，我就来解释下这个事。Cornell一直因为它较偏僻的地理位置被诟病，所以Cornell长期以来都有在纽约的分校，而且分校和本部之间联系紧密。 …
硕士毕业论文是深度学习相关，需要自己做数据集，但我做出来的 …
盲审的话有两个点可以毙掉你的论文： （1）自己做的数据集。一般算法创新需要在公开数据集上测试效果，如果需要特殊数据集，应该先在公开数据集上证明自己方法的有效性，然后再在自 …
常春藤、25所新常春藤、公立常春藤都是哪些学校？ - 知乎
康奈尔大学（Cornell University）#18; 新常春藤（25所） 范德堡大学（Vanderbilt University）#14; 圣路易斯华盛顿大学（Washington University in St. Louis）#16; 莱斯大 …
如何评价英伟达发布的 Tesla V100 计算卡？ - 知乎
原文：Cornell University -> Cornell Virtual Workshop -> Understanding GPU Architecture -> GPU Example: Tesla V100. It's fine to have a general understanding of what graphics processing …
致久坐腰疼的年轻人——七年总结的办公久坐护腰指南
Oct 24, 2023 · 根据2:1的规律，每天仍有至少有6小时以上的坐姿时间，更何况996的老哥门，每天至少有8小时需要坐在椅子上。
在康奈尔大学 (Cornell University) 就读是种怎样的体验？ - 知乎
但这里就分享一个好玩的经历吧，这件事我觉得真心是Cornell这样的名校才能给我的，而且是我看完《阿拉伯的劳伦斯》后一直神往的地方，那就是我在读书期间获得了沙特阿拉伯政府全额奖学金参加了沙特的一个中东高管 …
大家怎么看位于纽约市的 Cornell Tech（康奈尔科技校区）项目？
因为我在Cornell本部也读过，应该比较有发言权，我就来解释下这个事。Cornell一直因为它较偏僻的地理位置被诟病，所以Cornell长期以来都有在纽约的分校，而且分校和本部之间联系紧密。除了Cornell Tech以外，纽约还 …
硕士毕业论文是深度学习相关，需要自己做数据集，但我做出来的数 …
盲审的话有两个点可以毙掉你的论文： （1）自己做的数据集。一般算法创新需要在公开数据集上测试效果，如果需要特殊数据集，应该先在公开数据集上证明自己方法的有效性，然后再在自己数据集上展示效果。
常春藤、25所新常春藤、公立常春藤都是哪些学校？ - 知乎
康奈尔大学（Cornell University）#18; 新常春藤（25所） 范德堡大学（Vanderbilt University）#14; 圣路易斯华盛顿大学（Washington University in St. Louis）#16; 莱斯大学（Rice …
如何评价英伟达发布的 Tesla V100 计算卡？ - 知乎
原文：Cornell University -> Cornell Virtual Workshop -> Understanding GPU Architecture -> GPU Example: Tesla V100. It's fine to have a general understanding of what graphics …
