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| data science major wm: The Iranian Metaphysicals Alireza Doostdar, 2018-03-13 What do the occult sciences, séances with the souls of the dead, and appeals to saintly powers have to do with rationality? Since the late nineteenth century, modernizing intellectuals, religious leaders, and statesmen in Iran have attempted to curtail many such practices as superstitious, instead encouraging the development of rational religious sensibilities and dispositions. However, far from diminishing the diverse methods through which Iranians engage with the immaterial realm, these rationalizing processes have multiplied the possibilities for metaphysical experimentation. The Iranian Metaphysicals examines these experiments and their transformations over the past century. Drawing on years of ethnographic and archival research, Alireza Doostdar shows that metaphysical experimentation lies at the center of some of the most influential intellectual and religious movements in modern Iran. These forms of exploration have not only produced a plurality of rational orientations toward metaphysical phenomena but have also fundamentally shaped what is understood as orthodox Shi‘i Islam, including the forms of Islamic rationality at the heart of projects for building and sustaining an Islamic Republic. Delving into frequently neglected aspects of Iranian spirituality, politics, and intellectual inquiry, The Iranian Metaphysicals challenges widely held assumptions about Islam, rationality, and the relationship between science and religion. |
| data science major wm: Frenemies Jaime E. Settle, 2018-08-30 Social media is polarizing America: using Facebook causes Americans to negatively judge and stereotype those people with whom they disagree about politics. |
| data science major wm: The Data Science Design Manual Steven S. Skiena, 2017-07-01 This engaging and clearly written textbook/reference provides a must-have introduction to the rapidly emerging interdisciplinary field of data science. It focuses on the principles fundamental to becoming a good data scientist and the key skills needed to build systems for collecting, analyzing, and interpreting data. The Data Science Design Manual is a source of practical insights that highlights what really matters in analyzing data, and provides an intuitive understanding of how these core concepts can be used. The book does not emphasize any particular programming language or suite of data-analysis tools, focusing instead on high-level discussion of important design principles. This easy-to-read text ideally serves the needs of undergraduate and early graduate students embarking on an “Introduction to Data Science” course. It reveals how this discipline sits at the intersection of statistics, computer science, and machine learning, with a distinct heft and character of its own. Practitioners in these and related fields will find this book perfect for self-study as well. Additional learning tools: Contains “War Stories,” offering perspectives on how data science applies in the real world Includes “Homework Problems,” providing a wide range of exercises and projects for self-study Provides a complete set of lecture slides and online video lectures at www.data-manual.com Provides “Take-Home Lessons,” emphasizing the big-picture concepts to learn from each chapter Recommends exciting “Kaggle Challenges” from the online platform Kaggle Highlights “False Starts,” revealing the subtle reasons why certain approaches fail Offers examples taken from the data science television show “The Quant Shop” (www.quant-shop.com) |
| data science major wm: Introduction to Environmental Data Science William W. Hsieh, 2022-12-31 Statistical and machine learning methods have many applications in the environmental sciences, including prediction and data analysis in meteorology, hydrology and oceanography, pattern recognition for satellite images from remote sensing, management of agriculture and forests, assessment of climate change, and much more. With rapid advances in machine learning in the last decade, this book provides an urgently needed, comprehensive guide to machine learning and statistics for students and researchers interested in environmental data science. It includes intuitive explanations covering the relevant background mathematics, with examples drawn from the environmental sciences. A broad range of topics are covered, including correlation, regression, classification, clustering, neural networks, random forests, boosting, kernel methods, evolutionary algorithms, and deep learning, as well as the recent merging of machine learning and physics. End-of-chapter exercises allow readers to develop their problem-solving skills and online data sets allow readers to practise analysis of real data. |
| data science major wm: Resource-Allocation Behavior Harvey J. Langholtz, Antoinette T. Marty, Christopher T. Ball, Eric C. Nolan, 2002-09-30 Despite the increasing necessity for information on allocating dwindling resources, resource-allocation behavior is not nearly so well understood as choice behavior (selection from two or more already defined alternatives, events, or lotteries.) Although there have been scores of books devoted to the optimal model for making resource-allocation decisions there has never been a book discussing the cognitive aspects of this behavior. This book answers the question of how people make such decisions while explaining how Linear Programming can be applied within the context of resource-allocation. It also takes the reader step-by-step into several types of problems under varying conditions, including harsh and benign environments, maximization and minimization, multi-dimensional, and cyclical problems. |
| data science major wm: A Programmer's Guide to Computer Science William M Springer II, 2020-01-03 You know how to code..but is it enough? Do you feel left out when other programmers talk about asymptotic bounds? Have you failed a job interview because you don't know computer science? The author, a senior developer at a major software company with a PhD in computer science, takes you through what you would have learned while earning a four-year computer science degree. Volume one covers the most frequently referenced topics, including algorithms and data structures, graphs, problem-solving techniques, and complexity theory. When you finish this book, you'll have the tools you need to hold your own with people who have - or expect you to have - a computer science degree. |
| data science major wm: CRC Handbook of Chemistry and Physics William M. Haynes, 2016-04-19 Mirroring the growth and direction of science for a century, the Handbook, now in its 93rd edition, continues to be the most accessed and respected scientific reference in the world. An authoritative resource consisting tables of data, its usefulness spans every discipline. This edition includes 17 new tables in the Analytical Chemistry section, a major update of the CODATA Recommended Values of the Fundamental Physical Constants and updates to many other tables. The book puts physical formulas and mathematical tables used in labs every day within easy reach. The 93rd edition is the first edition to be available as an eBook. |
| data science major wm: What We Owe the Future William MacAskill, 2022-08-16 An Instant New York Times Bestseller “This book will change your sense of how grand the sweep of human history could be, where you fit into it, and how much you could do to change it for the better. It's as simple, and as ambitious, as that.” —Ezra Klein An Oxford philosopher makes the case for “longtermism” — that positively influencing the long-term future is a key moral priority of our time. The fate of the world is in our hands. Humanity’s written history spans only five thousand years. Our yet-unwritten future could last for millions more — or it could end tomorrow. Astonishing numbers of people could lead lives of great happiness or unimaginable suffering, or never live at all, depending on what we choose to do today. In What We Owe The Future, philosopher William MacAskill argues for longtermism, that idea that positively influencing the distant future is a key moral priority of our time. From this perspective, it’s not enough to reverse climate change or avert the next pandemic. We must ensure that civilization would rebound if it collapsed; counter the end of moral progress; and prepare for a planet where the smartest beings are digital, not human. If we make wise choices today, our grandchildren’s grandchildren will thrive, knowing we did everything we could to give them a world full of justice, hope and beauty. |
| data science major wm: Why It's Ok to Ignore Politics Christopher Freiman, 2020 Do you feel like you're the only person at your office without an I Voted! sticker on Election Day? It turns out that you're far from alone - 100 million eligible U.S. voters never went to the polls in 2016. That's about 35 million more than voted for the winning presidential candidate. In this book, Christopher Freiman explains why these 100 million need not feel guilty. Why It's OK to Ignore Politics argues that you're under no obligation to be politically active. Freiman addresses new objections to political abstention as well as some old chestnuts (But what if everyone stopped voting?). He also synthesizes recent empirical work showing how our political motivations distort our choices and reasoning. Because participating in politics is not an effective way to do good, Freiman argues that we actually have a moral duty to disengage from politics and instead take direct action to make the world a better place. Key Features: Makes the case against a duty of political participation for a non-expert audience Presupposes no knowledge of philosophy or political science and is written in a style free of technical jargon Addresses the standard, much-repeated arguments for why one should vote (e.g., one shouldn't free ride on the efforts of others) Presents the growing literature on politically motivated reasoning in an accessible and entertaining way Covers a significant amount of new ground in the debate over a duty of political participation (e.g., whether participating absolves us of our complicity in state injustice) Challenges the increasingly popular argument from philosophers and economists that swing state voting is effective altruism Discusses the therapeutic benefits of ignoring politics--it's good for you, your relationships, and society as a whole. |
| data science major wm: A Genealogy of Devotion Patton E. Burchett, 2019-05-28 In this book, Patton E. Burchett offers a path-breaking genealogical study of devotional (bhakti) Hinduism that traces its understudied historical relationships with tantra, yoga, and Sufism. Beginning in India’s early medieval “Tantric Age” and reaching to the present day, Burchett focuses his analysis on the crucial shifts of the early modern period, when the rise of bhakti communities in North India transformed the religious landscape in ways that would profoundly affect the shape of modern-day Hinduism. A Genealogy of Devotion illuminates the complex historical factors at play in the growth of bhakti in Sultanate and Mughal India through its pivotal interactions with Indic and Persianate traditions of asceticism, monasticism, politics, and literature. Shedding new light on the importance of Persian culture and popular Sufism in the history of devotional Hinduism, Burchett’s work explores the cultural encounters that reshaped early modern North Indian communities. Focusing on the Rāmānandī bhakti community and the tantric Nāth yogīs, Burchett describes the emergence of a new and Sufi-inflected devotional sensibility—an ethical, emotional, and aesthetic disposition—that was often critical of tantric and yogic religiosity. Early modern North Indian devotional critiques of tantric religiosity, he shows, prefigured colonial-era Orientalist depictions of bhakti as “religion” and tantra as “magic.” Providing a broad historical view of bhakti, tantra, and yoga while simultaneously challenging dominant scholarly conceptions of them, A Genealogy of Devotion offers a bold new narrative of the history of religion in India. |
| data science major wm: CRC Handbook of Chemistry and Physics, 96th Edition William M. Haynes, 2015-06-09 Proudly serving the scientific community for over a century, this 96th edition of the CRC Handbook of Chemistry and Physics is an update of a classic reference, mirroring the growth and direction of science. This venerable work continues to be the most accessed and respected scientific reference in the world. An authoritative resource consisting of tables of data and current international recommendations on nomenclature, symbols, and units, its usefulness spans not only the physical sciences but also related areas of biology, geology, and environmental science. The 96th edition of the Handbook includes 18 new or updated tables along with other updates and expansions. A new series highlighting the achievements of some of the major historical figures in chemistry and physics was initiated with the 94th edition. This series is continued with this edition, which is focused on Lord Kelvin, Michael Faraday, John Dalton, and Robert Boyle. This series, which provides biographical information, a list of major achievements, and notable quotations attributed to each of the renowned chemists and physicists, will be continued in succeeding editions. Each edition will feature two chemists and two physicists. The 96th edition now includes a complimentary eBook with purchase of the print version. This reference puts physical property data and mathematical formulas used in labs and classrooms every day within easy reach. New Tables: Section 1: Basic Constants, Units, and Conversion Factors Descriptive Terms for Solubility Section 8: Analytical Chemistry Stationary Phases for Porous Layer Open Tubular Columns Coolants for Cryotrapping Instability of HPLC Solvents Chlorine-Bromine Combination Isotope Intensities Section 16: Health and Safety Information Materials Compatible with and Resistant to 72 Percent Perchloric Acid Relative Dose Ranges from Ionizing Radiation Updated and Expanded Tables Section 6: Fluid Properties Sublimation Pressure of Solids Vapor Pressure of Fluids at Temperatures Below 300 K Section 7: Biochemistry Structure and Functions of Some Common Drugs Section 9: Molecular Structure and Spectroscopy Bond Dissociation Energies Section 11: Nuclear and Particle Physics Summary Tables of Particle Properties Table of the Isotopes Section 14: Geophysics, Astronomy, and Acoustics Major World Earthquakes Atmospheric Concentration of Carbon Dioxide, 1958-2014 Global Temperature Trend, 1880-2014 Section 15: Practical Laboratory Data Dependence of Boiling Point on Pressure Section 16: Health and Safety Information Threshold Limits for Airborne Contaminants |
| data science major wm: Teacher, Preacher, Soldier, Spy Christopher Grasso, 2021-08-04 The epic life story of a schoolteacher and preacher in Missouri, guerrilla fighter in the Civil War, Congressman, freethinking lecturer and author, and anarchist. A former Methodist preacher and Missouri schoolteacher, John R. Kelso served as a Union Army foot soldier, cavalry officer, guerrilla fighter, and spy. Kelso became driven by revenge after pro-Southern neighbors stole his property, burned down his house, and drove his family and friends from their homes. He vowed to kill twenty-five Confederates with his own hands and, often disguised as a rebel, proceeded to track and kill unsuspecting victims with wild delight. The newspapers of the day reported on his feats of derring-do, as the Union hailed him as a hero and Confederate sympathizers called him a monster. Teacher, Preacher, Soldier, Spy: The Civil Wars of John R. Kelso is an account of an extraordinary nineteenth-century American life. During Reconstruction, Kelso served in the House of Representatives and was one of the first to call for the impeachment of President Andrew Johnson. Personal tragedy then drove him west, where he became a freethinking lecturer and author, an atheist, a spiritualist, and, before his death in 1891, an anarchist. Kelso was also a strong-willed son, a passionate husband, and a loving and grieving father. The Civil War remained central to his life, challenging his notions of manhood and honor, his ideals of liberty and equality, and his beliefs about politics, religion, morality, and human nature. Throughout his life, too, he fought private wars--not only against former friends and alienated family members, rebellious students and disaffected church congregations, political opponents and religious critics, but also against the warring impulses in his own character. In Christopher Grasso's hands, Kelso's life story offers a unique vantage on dimensions of nineteenth-century American culture that are usually treated separately: religious revivalism and political anarchism; sex, divorce, and Civil War battles; freethinking and the Wild West. A complex figure and passionate, contradictory, and prolific writer, John R. Kelso here receives a full telling of his life for the first time. |
| data science major wm: Computerworld , 1990-01-08 For more than 40 years, Computerworld has been the leading source of technology news and information for IT influencers worldwide. Computerworld's award-winning Web site (Computerworld.com), twice-monthly publication, focused conference series and custom research form the hub of the world's largest global IT media network. |
| data science major wm: Making the Case Robert Leventhal, 2019-11-18 One hundred years before Freud’s striking psychoanalytic case-histories, the narrative psychological case-history emerged in the second half of the eighteenth century in Germany as an epistemic genre (Gianna Pomata) that cut across the disciplines of medicine, philosophy, law, psychology, anthropology and literature. It differed significantly from its predecessors in theology, jurisprudence, and medicine. Rather than subsuming the individual under an established classification, moral precept, category, or type, the narrative psychological case-history endeavored to articulate the individual in its very individuality, thereby constructing a ‘self’ in its irreducible singularity. The presentation and analysis of several significant psychological case-histories, their theory and practice, as well as the controversies surrounding their utility, validity, and function for an envisioned ‘science of the soul’ constitutes the core of the book. Close and ‘distant’ (F. Moretti) readings of key texts and figures in the discussion regarding ‘empirical psychology’ (psychologia empirica), experiential psychology (Erfahrungsseelenkunde) and ‘medical psychology’ (medizinische Psychologie) such as Christian Wolff, J.C. Krüger, J.C. Bolton, Ernst Nicolai, J.A. Unzer, J.G. Sulzer, J.G. Herder, Friedrich Schiller, Jacob Friedrich Abel, Marcus Herz, Karl Philipp Moritz, J.C. Reil, Ernst Platner and Immanuel Kant provide the disciplinary, historical-scientific context within which this genre comes to the fore. As the first systematic argument concerning the early history of this genre, my thesis is that the psychological case-history evolved as part of a pastoral apparatus of care, concern, guidance and direction for what it fashioned as the ‘unique’ individual, as the discursive medium in a process by which the soul became a ‘self’. The narrative psychological case-history was in fact a meta-genre that transcended traditional boundaries of history and fiction, medicine and philosophy, psychology and anthropology, and sought, for the first time, to explicitly link the experience, history, memory, fantasy, previous trauma or suffering of a unique individual to illness, deviance, aberration and crime. In a word, it demonstrated, as Freud later said of his own case-histories in Studies on Hysteria, “the intimate relation between the history of suffering and the symptoms of illness” (“die innige Beziehung zwischen Leidensgeschichte und Krankheitssymptome”). This genre not only had a profound and far-reaching effect on the evolution of German and European literature – one thinks of the rich traditions of the Novella and the Fallgeschichte from Goethe, Büchner, R. L Stevenson, Edgar Allen Poe and Chekhov to Kafka and beyond – but in shaping modern literature, the clinical sciences, and even popular culture. The book should therefore be of interest not merely to Germanists, modern European cultural historians, historians of science, and literary historians, but also those interested in the history of medicine and psychology, the origins of psychoanalysis, the history of anthropology, cultural studies, and, more generally, the history of ideas. |
| data science major wm: The Behavior of Federal Judges Lee Epstein, William M. Landes, Richard A. Posner, 2013-01-07 Judges play a central role in the American legal system, but their behavior as decision-makers is not well understood, even among themselves. The system permits judges to be quite secretive (and most of them are), so indirect methods are required to make sense of their behavior. Here, a political scientist, an economist, and a judge work together to construct a unified theory of judicial decision-making. Using statistical methods to test hypotheses, they dispel the mystery of how judicial decisions in district courts, circuit courts, and the Supreme Court are made. The authors derive their hypotheses from a labor-market model, which allows them to consider judges as they would any other economic actors: as self-interested individuals motivated by both the pecuniary and non-pecuniary aspects of their work. In the authors' view, this model describes judicial behavior better than either the traditional “legalist” theory, which sees judges as automatons who mechanically apply the law to the facts, or the current dominant theory in political science, which exaggerates the ideological component in judicial behavior. Ideology does figure into decision-making at all levels of the federal judiciary, the authors find, but its influence is not uniform. It diminishes as one moves down the judicial hierarchy from the Supreme Court to the courts of appeals to the district courts. As The Behavior of Federal Judges demonstrates, the good news is that ideology does not extinguish the influence of other components in judicial decision-making. Federal judges are not just robots or politicians in robes. |
| data science major wm: Magnetic Appeal Kelly Joyce, 2010-12-15 Magnetic Resonance Imaging, not so long ago a diagnostic tool of last resort, has become pervasive in the landscape of consumer medicine; images of the forbidding tubes, with their promises of revelation, surround us in commercials and on billboards. Magnetic Appeal offers an in-depth exploration of the science and culture of MRI, examining its development and emergence as an imaging technology, its popular appeal and acceptance, and its current use in health care. Understood as modern and uncontroversial by health care professionals and in public discourse, the importance of MRI—or its supposed infallibility—has rarely been questioned. In Magnetic Appeal, Kelly A. Joyce shows how MRI technology grew out of serendipitous circumstances and was adopted for reasons having little to do with patient safety or evidence of efficacy. Drawing on interviews with physicians and MRI technologists, as well as ethnographic research conducted at imaging sites and radiology conferences, Joyce demonstrates that current beliefs about MRI draw on cultural ideas about sight and technology and are reinforced by health care policies and insurance reimbursement practices. Moreover, her unsettling analysis of physicians' and technologists' work practices lets readers consider that MRI scans do not reveal the truth about the body as is popularly believed, nor do they always lead to better outcomes for patients. Although clearly a valuable medical technique, MRI technology cannot necessarily deliver the health outcomes ascribed to it. Magnetic Appeal also addresses broader questions about the importance of medical imaging technologies in American culture and medicine. These technologies, which include ultrasound, X-ray, and MRI, are part of a larger trend in which visual representations have become central to American health, identity, and social relations. |
| data science major wm: Experiments and Observations on the Gastric Juice, and the Physiology of Digestion William Beaumont, 1833 Concerns the case of Alexis St. Martin, whose relations with Beaumont are summarized in the introduction. |
| data science major wm: Virtual Light William Gibson, 2012-11-21 NEW YORK TIMES bestseller • 2005: Welcome to NoCal and SoCal, the uneasy sister-states of what used to be California. The millennium has come and gone, leaving in its wake only stunned survivors. In Los Angeles, Berry Rydell is a former armed-response rentacop now working for a bounty hunter. Chevette Washington is a bicycle messenger turned pickpocket who impulsively snatches a pair of innocent-looking sunglasses. But these are no ordinary shades. What you can see through these high-tech specs can make you rich—or get you killed. Now Berry and Chevette are on the run, zeroing in on the digitalized heart of DatAmerica, where pure information is the greatest high. And a mind can be a terrible thing to crash. . . . Praise for Virtual Light “Both exhilarating and terrifying . . . Although considered the master of 'cyberpunk' science fiction, William Gibson is also one fine suspense writer.”—People “A stunner . . . A terrifically stylish burst of kick-butt imagination.”—Entertainment Weekly “Convincing . . . frightening . . . Virtual Light is written with a sense of craft, a sense of humor and a sense of the ultimate seriousness of the problems it explores.”—Chicago Tribune “In the emerging pop culture of the information age, Gibson is the brightest star.”—The San Diego Union-Tribune |
| data science major wm: Social Science Research Anol Bhattacherjee, 2012-04-01 This book is designed to introduce doctoral and graduate students to the process of conducting scientific research in the social sciences, business, education, public health, and related disciplines. It is a one-stop, comprehensive, and compact source for foundational concepts in behavioral research, and can serve as a stand-alone text or as a supplement to research readings in any doctoral seminar or research methods class. This book is currently used as a research text at universities on six continents and will shortly be available in nine different languages. |
| data science major wm: Laser Material Processing William M. Steen, 2013-04-18 New chapters on bending and cleaning reflect the changes in the field since the last edition, completing the range of practical knowledge about the processes possible with lasers already familiar to users of this well-known text. Professor Steen's lively presentation is supported by a number of original cartoons by Patrick Wright and Noel Ford, which will bring a smile to your face and ease the learning process. From the reviews: ...well organized, and the text is very practical...The engineering community will find this book informative and useful. (OPTICS AND PHOTONICS NEWS, July/August 2005) |
| data science major wm: Banking on Beijing Axel Dreher, Andreas Fuchs, Bradley Parks, Austin Strange, Michael J. Tierney, 2022-05-05 Explains China's transformation from 'benefactor' to 'banker' in its relationship with developing countries and traces the impacts of this change. |
| data science major wm: Science , 1919 Vols. for 1911-13 contain the Proceedings of the Helminothological Society of Washington, ISSN 0018-0120, 1st-15th meeting. |
| data science major wm: Mathematical Statistics with Applications in R Kandethody M. Ramachandran, Chris P. Tsokos, 2014-09-14 Mathematical Statistics with Applications in R, Second Edition, offers a modern calculus-based theoretical introduction to mathematical statistics and applications. The book covers many modern statistical computational and simulation concepts that are not covered in other texts, such as the Jackknife, bootstrap methods, the EM algorithms, and Markov chain Monte Carlo (MCMC) methods such as the Metropolis algorithm, Metropolis-Hastings algorithm and the Gibbs sampler. By combining the discussion on the theory of statistics with a wealth of real-world applications, the book helps students to approach statistical problem solving in a logical manner.This book provides a step-by-step procedure to solve real problems, making the topic more accessible. It includes goodness of fit methods to identify the probability distribution that characterizes the probabilistic behavior or a given set of data. Exercises as well as practical, real-world chapter projects are included, and each chapter has an optional section on using Minitab, SPSS and SAS commands. The text also boasts a wide array of coverage of ANOVA, nonparametric, MCMC, Bayesian and empirical methods; solutions to selected problems; data sets; and an image bank for students.Advanced undergraduate and graduate students taking a one or two semester mathematical statistics course will find this book extremely useful in their studies. - Step-by-step procedure to solve real problems, making the topic more accessible - Exercises blend theory and modern applications - Practical, real-world chapter projects - Provides an optional section in each chapter on using Minitab, SPSS and SAS commands - Wide array of coverage of ANOVA, Nonparametric, MCMC, Bayesian and empirical methods |
| data science major wm: The Bully Pulpit Doris Kearns Goodwin, 2013-11-05 Pulitzer Prize–winning author and presidential historian Doris Kearns Goodwin’s dynamic history of Theodore Roosevelt, William H. Taft and the first decade of the Progressive era, that tumultuous time when the nation was coming unseamed and reform was in the air. Winner of the Carnegie Medal. Doris Kearns Goodwin’s The Bully Pulpit is a dynamic history of the first decade of the Progressive era, that tumultuous time when the nation was coming unseamed and reform was in the air. The story is told through the intense friendship of Theodore Roosevelt and William Howard Taft—a close relationship that strengthens both men before it ruptures in 1912, when they engage in a brutal fight for the presidential nomination that divides their wives, their children, and their closest friends, while crippling the progressive wing of the Republican Party, causing Democrat Woodrow Wilson to be elected, and changing the country’s history. The Bully Pulpit is also the story of the muckraking press, which arouses the spirit of reform that helps Roosevelt push the government to shed its laissez-faire attitude toward robber barons, corrupt politicians, and corporate exploiters of our natural resources. The muckrakers are portrayed through the greatest group of journalists ever assembled at one magazine—Ida Tarbell, Ray Stannard Baker, Lincoln Steffens, and William Allen White—teamed under the mercurial genius of publisher S.S. McClure. Goodwin’s narrative is founded upon a wealth of primary materials. The correspondence of more than four hundred letters between Roosevelt and Taft begins in their early thirties and ends only months before Roosevelt’s death. Edith Roosevelt and Nellie Taft kept diaries. The muckrakers wrote hundreds of letters to one another, kept journals, and wrote their memoirs. The letters of Captain Archie Butt, who served as a personal aide to both Roosevelt and Taft, provide an intimate view of both men. The Bully Pulpit, like Goodwin’s brilliant chronicles of the Civil War and World War II, exquisitely demonstrates her distinctive ability to combine scholarly rigor with accessibility. It is a major work of history—an examination of leadership in a rare moment of activism and reform that brought the country closer to its founding ideals. |
| data science major wm: Science and Practice of Strength Training Vladimir M. Zatsiorsky, William J. Kraemer, Andrew C. Fry, 2021 Science and Practice of Strength Training addresses the complexity of strength training programs while providing advice in customizing programs for athletes and other populations. It covers velocity training, intensity, timing, exercises, injury prevention, overtraining, and athlete monitoring. |
| data science major wm: Stalin's Master Narrative David Brandenberger, Mikhail Vladimirovich Zelenov, 2019-01-01 A critical edition of the text that defined communist party ideology in Stalin's Soviet Union The Short Course on the History of the Communist Party of the Soviet Union (Bolsheviks) defined Stalinist ideology both at home and abroad. It was quite literally the the master narrative of the USSR--a hegemonic statement on history, politics, and Marxism-Leninism that scripted Soviet society for a generation. This study exposes the enormous role that Stalin played in the development of this all-important text, as well as the unparalleled influence that he wielded over the Soviet historical imagination. |
| data science major wm: Bridging the Theory-Practice Divide in International Relations Daniel Maliniak, Susan Peterson, Ryan Powers, Michael J. Tierney, 2020-05-01 There is a widening divide between the data, tools, and knowledge that international relations scholars produce and what policy practitioners find relevant for their work. In this first-of-its-kind conversation, leading academics and practitioners reflect on the nature and size of the theory-practice divide. They find the gap varies by issue area and over time. The essays in this volume use data gathered by the Teaching, Research, and International Policy (TRIP) Project over a fifteen-year period. As a whole, the volume analyzes the structural factors that affect the academy’s ability to influence policy across issue areas and the professional incentives that affect scholars’ willingness to attempt to do so. Individual chapters explore these questions in the areas of trade, finance, human rights, development, environment, nuclear weapons and strategy, interstate war, and intrastate conflict. Each substantive chapter is followed by a response from a policy practitioner, providing their perspective on the gap and the possibility for academic work to have an impact. Bridging the Theory-Practice Divide in International Relations provides concrete answers and guidance about how and when scholarship can be policy relevant. |
| data science major wm: The Cambridge Handbook of Cognitive Science Keith Frankish, William Ramsey, 2012-07-19 An authoritative, up-to-date survey of the state of the art in cognitive science, written for non-specialists. |
| data science major wm: Smart Technologies in Data Science and Communication Jinan Fiaidhi, Debnath Bhattacharyya, N. Thirupathi Rao, 2020-03-30 This book features high-quality, peer-reviewed research papers presented at the International Conference on Smart Technologies in Data Science and Communication (Smart-DSC 2019), held at Vignan’s Institute of Information Technology (Autonomous), Visakhapatnam, Andhra Pradesh, India on 13–14 December 2019. It includes innovative and novel contributions in the areas of data analytics, communication and soft computing. |
| data science major wm: University Curricula in the Marine Sciences and Related Fields , 1965 |
| data science major wm: The Cambridge Handbook of Artificial Intelligence Keith Frankish, William M. Ramsey, 2014-06-12 An authoritative, up-to-date survey of the state of the art in artificial intelligence, written for non-specialists. |
| data science major wm: Sketches of North Carolina William Henry Foote, 1846 |
| data science major wm: Modular Forms, a Computational Approach William A. Stein, 2007-02-13 This marvellous and highly original book fills a significant gap in the extensive literature on classical modular forms. This is not just yet another introductory text to this theory, though it could certainly be used as such in conjunction with more traditional treatments. Its novelty lies in its computational emphasis throughout: Stein not only defines what modular forms are, but shows in illuminating detail how one can compute everything about them in practice. This is illustrated throughout the book with examples from his own (entirely free) software package SAGE, which really bring the subject to life while not detracting in any way from its theoretical beauty. The author is the leading expert in computations with modular forms, and what he says on this subject is all tried and tested and based on his extensive experience. As well as being an invaluable companion to those learning the theory in a more traditional way, this book will be a great help to those who wish to use modular forms in applications, such as in the explicit solution of Diophantine equations. There is also a useful Appendix by Gunnells on extensions to more general modular forms, which has enough in it to inspire many PhD theses for years to come. While the book's main readership will be graduate students in number theory, it will also be accessible to advanced undergraduates and useful to both specialists and non-specialists in number theory. --John E. Cremona, University of Nottingham William Stein is an associate professor of mathematics at the University of Washington at Seattle. He earned a PhD in mathematics from UC Berkeley and has held positions at Harvard University and UC San Diego. His current research interests lie in modular forms, elliptic curves, and computational mathematics. |
| data science major wm: William Kent Susan Weber, 2013 Published for Bard Graduate Center: Decorative Arts, Design History, Material Culture, New York. |
| data science major wm: Jim Cramer's Real Money Jim Cramer, 2009-01-06 Presents guidelines on how to invest successfully by becoming a prudent speculator, explaining the role of psychology in risk taking while covering such topics as spotting an undervalued stock and knowing when to sell. |
| data science major wm: Census of the City of Charleston, South Carolina Charleston (S.C.). City Council, 1861 |
| data science major wm: Colleges That Create Futures Princeton Review, 2016-05-10 KICK-START YOUR CAREER WITH THE RIGHT ON-CAMPUS EXPERIENCE! When it comes to getting the most out of college, the experiences you have outside the classroom are just as important as what you study. Colleges That Create Futures looks beyond the usual “best of” college lists to highlight 50 schools that empower students to discover practical, real-world applications for their talents and interests. The schools in this book feature distinctive research, internship, and hands-on learning programs—all the info you need to help find a college where you can parlay your passion into a successful post-college career. Inside, You'll Find: • In-depth profiles covering career services, internship support, student group activity, alumni satisfaction, noteworthy facilities and programs, and more • Candid assessments of each school’s academics from students, current faculty, and alumni • Unique hands-on learning opportunities for students across majors • Testimonials on career prep from alumni in business, education, law, and much more *************************** What makes Colleges That Create Futures important? You've seen the headlines—lately the news has been full of horror stories about how the college educational system has failed many recent grads who leave school with huge debt, no job prospects, and no experience in the working world. Colleges That Create Futures identifies schools that don't fall into this trap but instead prepare students for successful careers! How are the colleges selected? Schools are selected based on survey results on career services, grad school matriculation, internship support, student group and government activity, alumni activity and salaries, and noteworthy facilities and programs. |
| data science major wm: Data Analytics and Management in Data Intensive Domains Leonid Kalinichenko, Yannis Manolopoulos, Oleg Malkov, Nikolay Skvortsov, Sergey Stupnikov, Vladimir Sukhomlin, 2018-07-12 This book constitutes the refereed proceedings of the 19th International Conference on Data Analytics and Management in Data Intensive Domains, DAMDID/RCDL 2017, held in Moscow, Russia, in October 2017. The 16 revised full papers presented together with three invited papers were carefully reviewed and selected from 75 submissions. The papers are organized in the following topical sections: data analytics; next generation genomic sequencing: challenges and solutions; novel approaches to analyzing and classifying of various astronomical entities and events; ontology population in data intensive domains; heterogeneous data integration issues; data curation and data provenance support; and temporal summaries generation. |
| data science major wm: How to Make Money in Stocks: A Winning System in Good Times or Bad William J. O'Neil, 1994-09-22 William J. O'Neil's proven investment advice has earned him millions of loyal followers. And his signature bestseller, How to Make Money in Stocks, contains all the guidance readers need on the entire investment processfrom picking a broker to diversifying a portfolio to making a million in mutual funds. For self-directed investors of all ages and expertise, William J. O'Neil's proven CAN SLIM investment strategy is helping those who follow O'Neil to select winning stocks and create a more powerful portfolio. Based on a 40-year study of the most successful stocks of all time, CAN SLIM is an easy-to-use tool for picking the winners and reducing risk in today's volatile economic environment. |
| data science major wm: Monitoring, Measurement, and Verification of Greenhouse Gas Emissions, Parts I and II United States. Congress. House. Committee on Science and Technology (2007). Subcommittee on Energy and Environment, 2009 |
Data and Digital Outputs Management Plan (DDOMP)
Data and Digital Outputs Management Plan (DDOMP)
Building New Tools for Data Sharing and Reuse through a …
Jan 10, 2019 · The SEI CRA will closely link research thinking and technological innovation toward accelerating the full path of discovery-driven data use and open science. This will enable a …
Open Data Policy and Principles - Belmont Forum
The data policy includes the following principles: Data should be: Discoverable through catalogues and search engines; Accessible as open data by default, and made available with …
Belmont Forum Adopts Open Data Principles for Environmental …
Jan 27, 2016 · Adoption of the open data policy and principles is one of five recommendations in A Place to Stand: e-Infrastructures and Data Management for Global Change Research, …
Belmont Forum Data Accessibility Statement and Policy
The DAS encourages researchers to plan for the longevity, reusability, and stability of the data attached to their research publications and results. Access to data promotes reproducibility, …
Climate-Induced Migration in Africa and Beyond: Big Data and …
CLIMB will also leverage earth observation and social media data, and combine them with survey and official statistical data. This holistic approach will allow us to analyze migration process …
Advancing Resilience in Low Income Housing Using Climate …
Jun 4, 2020 · Environmental sustainability and public health considerations will be included. Machine Learning and Big Data Analytics will be used to identify optimal disaster resilient …
Belmont Forum
What is the Belmont Forum? The Belmont Forum is an international partnership that mobilizes funding of environmental change research and accelerates its delivery to remove critical …
Waterproofing Data: Engaging Stakeholders in Sustainable Flood …
Apr 26, 2018 · Waterproofing Data investigates the governance of water-related risks, with a focus on social and cultural aspects of data practices. Typically, data flows up from local levels to …
Data Management Annex (Version 1.4) - Belmont Forum
A full Data Management Plan (DMP) for an awarded Belmont Forum CRA project is a living, actively updated document that describes the data management life cycle for the data to be …
Data and Digital Outputs Management Plan (DDOMP)
Data and Digital Outputs Management Plan (DDOMP)
Building New Tools for Data Sharing and Reuse through a …
Jan 10, 2019 · The SEI CRA will closely link research thinking and technological innovation toward accelerating the full path of discovery-driven data use and open science. This will …
Open Data Policy and Principles - Belmont Forum
The data policy includes the following principles: Data should be: Discoverable through catalogues and search engines; Accessible as open data by default, and made available with …
Belmont Forum Adopts Open Data Principles for Environmental …
Jan 27, 2016 · Adoption of the open data policy and principles is one of five recommendations in A Place to Stand: e-Infrastructures and Data Management for Global Change Research, …
Belmont Forum Data Accessibility Statement and Policy
The DAS encourages researchers to plan for the longevity, reusability, and stability of the data attached to their research publications and results. Access to data promotes reproducibility, …
Climate-Induced Migration in Africa and Beyond: Big Data and …
CLIMB will also leverage earth observation and social media data, and combine them with survey and official statistical data. This holistic approach will allow us to analyze migration process …
Advancing Resilience in Low Income Housing Using Climate …
Jun 4, 2020 · Environmental sustainability and public health considerations will be included. Machine Learning and Big Data Analytics will be used to identify optimal disaster resilient …
Belmont Forum
What is the Belmont Forum? The Belmont Forum is an international partnership that mobilizes funding of environmental change research and accelerates its delivery to remove critical …
Waterproofing Data: Engaging Stakeholders in Sustainable Flood …
Apr 26, 2018 · Waterproofing Data investigates the governance of water-related risks, with a focus on social and cultural aspects of data practices. Typically, data flows up from local levels …
Data Management Annex (Version 1.4) - Belmont Forum
A full Data Management Plan (DMP) for an awarded Belmont Forum CRA project is a living, actively updated document that describes the data management life cycle for the data to be …
