| cornell ms in data science: 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 ms in data science: Materials Science and Engineering for the 1990s National Research Council, Division on Engineering and Physical Sciences, National Materials Advisory Board, Board on Physics and Astronomy, Commission on Engineering and Technical Systems, Commission on Physical Sciences, Mathematics, and Resources, Solid State Sciences Committee, Committee on Materials Science and Engineering, 1989-02-01 Materials science and engineering (MSE) contributes to our everyday lives by making possible technologies ranging from the automobiles we drive to the lasers our physicians use. Materials Science and Engineering for the 1990s charts the impact of MSE on the private and public sectors and identifies the research that must be conducted to help America remain competitive in the world arena. The authors discuss what current and future resources would be needed to conduct this research, as well as the role that industry, the federal government, and universities should play in this endeavor. |
| cornell ms in data science: 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 ms in data science: 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 ms in data science: Fault Lines Karl Pillemer, Ph.D., 2022-11-01 Real solutions to a hidden epidemic: family estrangement. Estrangement from a family member is one of the most painful life experiences. It is devastating not only to the individuals directly involved--collateral damage can extend upward, downward, and across generations, More than 65 million Americans suffer such rifts, yet little guidance exists on how to cope with and overcome them. In this book, Karl Pillemer combines the advice of people who have successfully reconciled with powerful insights from social science research. The result is a unique guide to mending fractured families. Fault Lines shares for the first time findings from Dr. Pillemer's ten-year groundbreaking Cornell Reconciliation Project, based on the first national survey on estrangement; rich, in-depth interviews with hundreds of people who have experienced it; and insights from leading family researchers and therapists. He assures people who are estranged, and those who care about them, that they are not alone and that fissures can be bridged. Through the wisdom of people who have been there, Fault Lines shows how healing is possible through clear steps that people can use right away in their own families. It addresses such questions as: How do rifts begin? What makes estrangement so painful? Why is it so often triggered by a single event? Are you ready to reconcile? How can you overcome past hurts to build a new future with a relative? Tackling a subject that is achingly familiar to almost everyone, especially in an era when powerful outside forces such as technology and mobility are lessening family cohesion, Dr. Pillemer combines dramatic stories, science-based guidance, and practical repair tools to help people find the path to reconciliation. |
| cornell ms in data science: 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 ms in data science: 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 ms in data science: A History of Cornell Morris Bishop, 2014-10-15 Cornell University is fortunate to have as its historian a man of Morris Bishop's talents and devotion. As an accurate record and a work of art possessing form and personality, his book at once conveys the unique character of the early university—reflected in its vigorous founder, its first scholarly president, a brilliant and eccentric faculty, the hardy student body, and, sometimes unfortunately, its early architecture—and establishes Cornell's wider significance as a case history in the development of higher education. Cornell began in rebellion against the obscurantism of college education a century ago. Its record, claims the author, makes a social and cultural history of modern America. This story will undoubtedly entrance Cornellians; it will also charm a wider public. Dr. Allan Nevins, historian, wrote: I anticipated that this book would meet the sternest tests of scholarship, insight, and literary finish. I find that it not only does this, but that it has other high merits. It shows grasp of ideas and forces. It is graphic in its presentation of character and idiosyncrasy. It lights up its story by a delightful play of humor, felicitously expressed. Its emphasis on fundamentals, without pomposity or platitude, is refreshing. Perhaps most important of all, it achieves one goal that in the history of a living university is both extremely difficult and extremely valuable: it recreates the changing atmosphere of time and place. It is written, very plainly, by a man who has known and loved Cornell and Ithaca for a long time, who has steeped himself in the traditions and spirit of the institution, and who possesses the enthusiasm and skill to convey his understanding of these intangibles to the reader. The distinct personalities of Ezra Cornell and first president Andrew Dickson White dominate the early chapters. For a vignette of the founder, see Bishop's description of his first buildings (Cascadilla, Morrill, McGraw, White, Sibley): At best, he writes, they embody the character of Ezra Cornell, grim, gray, sturdy, and economical. To the English historian, James Anthony Froude, Mr. Cornell was the most surprising and venerable object I have seen in America. The first faculty, chosen by President White, reflected his character: his idealism, his faith in social emancipation by education, his dislike of dogmatism, confinement, and inherited orthodoxy; while the romantic upstate gothic architecture of such buildings as the President's house (now Andrew D. White Center for the Humanities), Sage Chapel, and Franklin Hall may be said to portray the taste and Soul of Andrew Dickson White. Other memorable characters are Louis Fuertes, the beloved naturalist; his student, Hugh Troy, who once borrowed Fuertes' rhinoceros-foot wastebasket for illicit if hilarious purposes; the more noteworthy and the more eccentric among the faculty of succeeding presidential eras; and of course Napoleon, the campus dog, whose talent for hailing streetcars brought him home safely—and alone—from the Penn game. The humor in A History of Cornell is at times kindly, at times caustic, and always illuminating. |
| cornell ms in data science: 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 ms in data science: 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 ms in data science: Our Changing Menu Michael P. Hoffmann, Carrie Koplinka-Loehr, Danielle L. Eiseman, 2021-04-15 Our Changing Menu unpacks the increasingly complex relationships between food and climate change. Whether you're a chef, baker, distiller, restaurateur, or someone who simply enjoys a good pizza or drink, it's time to come to terms with how climate change is affecting our diverse and interwoven food system. Michael P. Hoffmann, Carrie Koplinka-Loehr, and Danielle L. Eiseman offer an eye-opening journey through a complete menu of before-dinner drinks and salads; main courses and sides; and coffee and dessert. Along the way they examine the escalating changes occurring to the flavors of spices and teas, the yields of wheat, the vitamins in rice, and the price of vanilla. Their story is rounded out with a primer on the global food system, the causes and impacts of climate change, and what we can all do. Our Changing Menu is a celebration of food and a call to action—encouraging readers to join with others from the common ground of food to help tackle the greatest challenge of our time. |
| cornell ms in data science: Why Things Break Mark Eberhart, 2007-12-18 Did you know— • It took more than an iceberg to sink the Titanic. • The Challenger disaster was predicted. • Unbreakable glass dinnerware had its origin in railroad lanterns. • A football team cannot lose momentum. • Mercury thermometers are prohibited on airplanes for a crucial reason. • Kryptonite bicycle locks are easily broken. “Things fall apart” is more than a poetic insight—it is a fundamental property of the physical world. Why Things Break explores the fascinating question of what holds things together (for a while), what breaks them apart, and why the answers have a direct bearing on our everyday lives. When Mark Eberhart was growing up in the 1960s, he learned that splitting an atom leads to a terrible explosion—which prompted him to worry that when he cut into a stick of butter, he would inadvertently unleash a nuclear cataclysm. Years later, as a chemistry professor, he remembered this childhood fear when he began to ponder the fact that we know more about how to split an atom than we do about how a pane of glass breaks. In Why Things Break, Eberhart leads us on a remarkable and entertaining exploration of all the cracks, clefts, fissures, and faults examined in the field of materials science and the many astonishing discoveries that have been made about everything from the explosion of the space shuttle Challenger to the crashing of your hard drive. Understanding why things break is crucial to modern life on every level, from personal safety to macroeconomics, but as Eberhart reveals here, it is also an area of cutting-edge science that is as provocative as it is illuminating. |
| cornell ms in data science: Plumb's Veterinary Drug Handbook Donald C. Plumb, 2018-02-21 Plumb’s Veterinary Drug Handbook, Ninth Edition updates the most complete, detailed, and trusted source of drug information relevant to veterinary medicine. Provides a fully updated edition of the classic veterinary drug handbook, with carefully curated dosages per indication for clear guidance on selecting a dose Features 16 new drugs Offers an authoritative, complete reference for detailed information about animal medication Designed to be used every day in the fast-paced veterinary setting Includes dosages for a wide range of species, including dogs, cats, exotic animals, and farm animals |
| cornell ms in data science: 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 ms in data science: Privacy in Context Helen Nissenbaum, 2009-11-24 Privacy is one of the most urgent issues associated with information technology and digital media. This book claims that what people really care about when they complain and protest that privacy has been violated is not the act of sharing information itself—most people understand that this is crucial to social life —but the inappropriate, improper sharing of information. Arguing that privacy concerns should not be limited solely to concern about control over personal information, Helen Nissenbaum counters that information ought to be distributed and protected according to norms governing distinct social contexts—whether it be workplace, health care, schools, or among family and friends. She warns that basic distinctions between public and private, informing many current privacy policies, in fact obscure more than they clarify. In truth, contemporary information systems should alarm us only when they function without regard for social norms and values, and thereby weaken the fabric of social life. |
| cornell ms in data science: 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 ms in data science: Amma Judith Cornell, 2001 Looks at the life of Ammachi, Mother of Immortal Bliss, also known as the hugging saint, who spends her time offering strangers comfort and peace, and details her divine calling. |
| cornell ms in data science: The Substance of Civilization Stephen L. Sass, 2011-08 Demonstrates the way in which the discovery, application, and adaptation of materials has shaped the course of human history and the routines of our daily existence. |
| cornell ms in data science: The New Science of Strong Materials J. E. Gordon, 2006-02-19 This new edition of the book on the properties of materials used in engineering answers some fundamental questions about how the material world around us functions. In particular: the author focuses on so-called strong materials, such as metals, wood, ceramics, glass, and bone. For each material in question, the author explains the unique physical and chemical basis for its inherent structural qualities. He also shows how an in-depth understanding of these materials' intrinsic strengths (and weaknesses) guides our engineering choices, allowing us to build the structures that support our modern society. |
| cornell ms in data science: 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 ms in data science: 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 ms in data science: 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 ms in data science: The China Study: Revised and Expanded Edition T. Colin Campbell, Thomas M. Campbell, II, 2016-12-27 The revised and expanded edition of the bestseller that changed millions of lives The science is clear. The results are unmistakable. You can dramatically reduce your risk of cancer, heart disease, and diabetes just by changing your diet. More than 30 years ago, nutrition researcher T. Colin Campbell and his team at Cornell, in partnership with teams in China and England, embarked upon the China Study, the most comprehensive study ever undertaken of the relationship between diet and the risk of developing disease. What they found when combined with findings in Colin's laboratory, opened their eyes to the dangers of a diet high in animal protein and the unparalleled health benefits of a whole foods, plant-based diet. In 2005, Colin and his son Tom, now a physician, shared those findings with the world in The China Study, hailed as one of the most important books about diet and health ever written. Featuring brand new content, this heavily expanded edition of Colin and Tom's groundbreaking book includes the latest undeniable evidence of the power of a plant-based diet, plus updated information about the changing medical system and how patients stand to benefit from a surging interest in plant-based nutrition. The China Study—Revised and Expanded Edition presents a clear and concise message of hope as it dispels a multitude of health myths and misinformation. The basic message is clear. The key to a long, healthy life lies in three things: breakfast, lunch, and dinner. |
| cornell ms in data science: Big Data Science in Finance Irene Aldridge, Marco Avellaneda, 2021-01-08 Explains the mathematics, theory, and methods of Big Data as applied to finance and investing Data science has fundamentally changed Wall Street—applied mathematics and software code are increasingly driving finance and investment-decision tools. Big Data Science in Finance examines the mathematics, theory, and practical use of the revolutionary techniques that are transforming the industry. Designed for mathematically-advanced students and discerning financial practitioners alike, this energizing book presents new, cutting-edge content based on world-class research taught in the leading Financial Mathematics and Engineering programs in the world. Marco Avellaneda, a leader in quantitative finance, and quantitative methodology author Irene Aldridge help readers harness the power of Big Data. Comprehensive in scope, this book offers in-depth instruction on how to separate signal from noise, how to deal with missing data values, and how to utilize Big Data techniques in decision-making. Key topics include data clustering, data storage optimization, Big Data dynamics, Monte Carlo methods and their applications in Big Data analysis, and more. This valuable book: Provides a complete account of Big Data that includes proofs, step-by-step applications, and code samples Explains the difference between Principal Component Analysis (PCA) and Singular Value Decomposition (SVD) Covers vital topics in the field in a clear, straightforward manner Compares, contrasts, and discusses Big Data and Small Data Includes Cornell University-tested educational materials such as lesson plans, end-of-chapter questions, and downloadable lecture slides Big Data Science in Finance: Mathematics and Applications is an important, up-to-date resource for students in economics, econometrics, finance, applied mathematics, industrial engineering, and business courses, and for investment managers, quantitative traders, risk and portfolio managers, and other financial practitioners. |
| cornell ms in data science: 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 ms in data science: American Higher Education in Crisis? Goldie Blumenstyk, 2015 Disinvestment by states has driven up tuition prices, and student debt has reached an all-time high. Americans are questioning the worth of a college education, even as studies show how important it is to economic and social mobility |
| cornell ms in data science: Healthcare Data Analytics Chandan K. Reddy, Charu C. Aggarwal, 2015-06-23 At the intersection of computer science and healthcare, data analytics has emerged as a promising tool for solving problems across many healthcare-related disciplines. Supplying a comprehensive overview of recent healthcare analytics research, Healthcare Data Analytics provides a clear understanding of the analytical techniques currently available |
| cornell ms in data science: Sequences and Power Series , |
| cornell ms in data science: 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 ms in data science: Carbon Dioxide Utilisation Peter Styring, Elsje Alessandra Quadrelli, Katy Armstrong, 2014-09-13 Carbon Dioxide Utilisation: Closing the Carbon Cycle explores areas of application such as conversion to fuels, mineralization, conversion to polymers, and artificial photosynthesis as well as assesses the potential industrial suitability of the various processes. After an introduction to the thermodynamics, basic reactions, and physical chemistry of carbon dioxide, the book proceeds to examine current commercial and industrial processes, and the potential for carbon dioxide as a green and sustainable resource. While carbon dioxide is generally portrayed as a bad gas, a waste product, and a major contributor to global warming, a new branch of science is developing to convert this bad gas into useful products. This book explores the science behind converting CO2 into fuels for our cars and planes, and for use in plastics and foams for our homes and cars, pharmaceuticals, building materials, and many more useful products. Carbon dioxide utilization is a rapidly expanding area of research that holds a potential key to sustainable, petrochemical-free chemical production and energy integration. - Accessible and balanced between chemistry, engineering, and industrial applications - Informed by blue-sky thinking and realistic possibilities for future technology and applications - Encompasses supply chain sustainability and economics, processes, and energy integration |
| cornell ms in data science: 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 ms in data science: The Merck Veterinary Manual Merck and Co., Inc. Staff, 2003-11 For more than forty years, animal health professionals have turned to the Merck Veterinary Manualfor integrated, concise and reliable veterinary information. Now this manual covering the diagnosis, treatment, and prevention of diseases of companion, food and zoo animals.is available on an easy-to-use, fully searchable CD-ROM. The CD includes the full text of The Merck Veterinary Manual 8/e and has been enhanced with picture links featuring original anatomical artwork and numerous clinical and diagnostic illustrations, table links and quick search links that provide quick accesss to cross referenced text. |
| cornell ms in data science: Reasoning About Knowledge Ronald Fagin, Joseph Y. Halpern, Yoram Moses, Moshe Vardi, 2004-01-09 Reasoning about knowledge—particularly the knowledge of agents who reason about the world and each other's knowledge—was once the exclusive province of philosophers and puzzle solvers. More recently, this type of reasoning has been shown to play a key role in a surprising number of contexts, from understanding conversations to the analysis of distributed computer algorithms. Reasoning About Knowledge is the first book to provide a general discussion of approaches to reasoning about knowledge and its applications to distributed systems, artificial intelligence, and game theory. It brings eight years of work by the authors into a cohesive framework for understanding and analyzing reasoning about knowledge that is intuitive, mathematically well founded, useful in practice, and widely applicable. The book is almost completely self-contained and should be accessible to readers in a variety of disciplines, including computer science, artificial intelligence, linguistics, philosophy, cognitive science, and game theory. Each chapter includes exercises and bibliographic notes. |
| cornell ms in data science: 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 ms in data science: Reliable Distributed Systems Kenneth Birman, 2006-07-02 Explains fault tolerance in clear terms, with concrete examples drawn from real-world settings Highly practical focus aimed at building mission-critical networked applications that remain secure |
| cornell ms in data science: 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 ms in data science: Neuromorphic Photonics Paul R. Prucnal, Bhavin J. Shastri, 2017-05-08 This book sets out to build bridges between the domains of photonic device physics and neural networks, providing a comprehensive overview of the emerging field of neuromorphic photonics. It includes a thorough discussion of evolution of neuromorphic photonics from the advent of fiber-optic neurons to today’s state-of-the-art integrated laser neurons, which are a current focus of international research. Neuromorphic Photonics explores candidate interconnection architectures and devices for integrated neuromorphic networks, along with key functionality such as learning. It is written at a level accessible to graduate students, while also intending to serve as a comprehensive reference for experts in the field. |
| cornell ms in data science: Data Science Ethics David Martens, 2022-03-24 Data science ethics is all about what is right and wrong when conducting data science. Data science has so far been primarily used for positive outcomes for businesses and society. However, just as with any technology, data science has also come with some negative consequences: an increase of privacy invasion, data-driven discrimination against sensitive groups, and decision making by complex models without explanations. While data scientists and business managers are not inherently unethical, they are not trained to weigh the ethical considerations that come from their work - Data Science Ethics addresses this increasingly significant gap and highlights different concepts and techniques that aid understanding, ranging from k-anonymity and differential privacy to homomorphic encryption and zero-knowledge proofs to address privacy concerns, techniques to remove discrimination against sensitive groups, and various explainable AI techniques. Real-life cautionary tales further illustrate the importance and potential impact of data science ethics, including tales of racist bots, search censoring, government backdoors, and face recognition. The book is punctuated with structured exercises that provide hypothetical scenarios and ethical dilemmas for reflection that teach readers how to balance the ethical concerns and the utility of data. |
| cornell ms in data science: 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 ms in data science: Information-Driven Planning and Control Silvia Ferrari, Thomas A Wettergren, 2017-01-15 This book provides a thorough treatment of the performance modeling strategies and control algorithms required for the design and use of information-gathering autonomous agents comprised of unmanned vehicles equipped with multiple sensors, computing, and communication devices. These agents are becoming vital to a variety of applications in environmental monitoring, industrial monitoring, ecology, security and defense. The use of unmanned vehicles has changed the way in which these communities perform sensing over large spaces. |
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 …
大家怎么看位于纽约市的 Cornell Tech（康奈尔科技校区）项目？ - 知乎
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 …
硕士毕业论文是深度学习相关，需要自己做数据集，但我做出来的数据集有点小， …
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 …
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 …
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 …
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 …
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 …
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，然后再在自己数据集上展 …
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 University）#16; …
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 units …
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。
