Cornell : a history, 1940-2015 / / Glenn C. Altschuler and Isaac Kramnick

• Record Nr.: UNINA9910465853303321
• Autore: Altschuler Glenn C.
• Pubbl/distr/stampa: Ithaca, New York : , : Cornell University Press, , 2014; ©2014
• ISBN: 0-8014-7188-5; 0-8014-7189-3
• Descrizione fisica: 1 online resource (544 p.)
• Disciplina: 379.747/71
• Soggetti: EDUCATION / Higher; Electronic books.
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Includes index.
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Front matter -- Contents -- Preface: The "Cornell Idea" -- Acknowledgments -- Authors' Note -- Part I. 1945-1963 -- 1. Building a Research University -- 2. The Death of In Loco Parentis -- 3. The Cold War at Cornell -- Part II. 1963-1977 -- 4. The Bureaucratic University and Its Discontents -- 5. Race at Cornell -- 6. The Wars at Home -- Part III. 1977-1995 -- 7. The Rhodes Years -- 8. Academic Identity Politics -- 9. Political Engagement, Divestment, and Cornell's Two-China Policy -- Part IV. 1995-2015 -- 10. Into the Twenty-First Century -- 11. The New Normal in Student Life -- 12. Going Global -- Postscript -- Notes -- Index
• Sommario/riassunto: In their history of Cornell since 1940, Glenn C. Altschuler and Isaac Kramnick examine the institution in the context of the emergence of the modern research university. The book examines Cornell during the Cold War, the civil rights movement, Vietnam, antiapartheid protests, the ups and downs of varsity athletics, the women's movement, the opening of relations with China, and the creation of Cornell NYC Tech. It relates profound, fascinating, and little-known incidents involving the faculty, administration, and student life, connecting them to the "Cornell idea" of freedom and responsibility. The authors had access to all existing papers of the presidents of Cornell, which deeply informs ; their respectful but unvarnished portrait of the university. Institutions, like individuals, develop narratives about themselves. Cornell constructed its sense of self, of how it was special and different, on the eve of World War II, when America defended democracy from fascist dictatorship. Cornell's fifth president, Edmund Ezra Day, and Carl Becker, its preeminent historian, discerned what they called a Cornell "soul," a Cornell "character," a Cornell "personality," a Cornell "tradition"-and they called it "freedom." "The Cornell idea" was tested and contested in Cornell's second seventy-five years. Cornellians used the ideals of freedom and responsibility as weapons for change-and justifications for retaining the status quo; to protect academic freedom-and to rein in radical professors; to end in loco parentis and parietal rules, to preempt panty raids, pornography, and pot parties, and to reintroduce regulations to protect and promote the physical and emotional well-being of students; to add nanofabrication, entrepreneurship, and genomics to the curriculum-and to require language courses, freshmen writing, and physical education. In the name of freedom (and responsibility), black students occupied Willard Straight Hall, the anti-Vietnam War SDS took over the Engineering Library, proponents of divestment from South Africa built campus shantytowns, and Latinos seized Day Hall. In the name of responsibility (and freedom), the university reclaimed them. The history of Cornell since World War II, Altschuler and Kramnick believe, is in large part a set of variations on the narrative of freedom and its partner, responsibility, the obligation to others and to one's self to do what is right and useful, with a principled commitment to the Cornell community-and to the world outside the Eddy Street gate.

Applying data science : how to create value with artificial intelligence / / Arthur K. Kordon

• Record Nr.: UNINA9910427686703321
• Autore: Kordon Arthur K.
• Pubbl/distr/stampa: Cham, Switzerland : , : Springer, , [2020]; ©2020
• ISBN: 3-030-36375-9
• Edizione: [1st ed. 2020.]
• Descrizione fisica: 1 online resource (XXXII, 494 p. 262 illus., 195 illus. in color.)
• Disciplina: 658.0563
• Soggetti: Artificial intelligence; Business - Data processing; Big data
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di contenuto: Part I, From Business Problems to Data Science -- Data Science Based on Artificial Intelligence -- Business Problems Dependent on Data -- Artificial Intelligence-Based Data Science Solutions -- Integrate and Conquer -- The Lost-in-Translation Trap -- Part II, The AI-Based Data Science Toolbox -- The AI-Based Data Science Workflow -- Problem Knowledge Acquisition -- Data Preparation -- Data Analysis -- Model Development -- The Model Deployment Life Cycle -- Part III, AI-Based Data Science in Action -- Infrastructure -- People -- Applications of AI-Based Data Science in Manufacturing -- Applications of AI-Based Data Science in Business -- How to Operate AI-Based Data Science in a Business -- How to Become an Effective Data Scientist -- Glossary.
• Sommario/riassunto: This book offers practical guidelines on creating value from the application of data science based on selected artificial intelligence methods. In Part I, the author introduces a problem-driven approach to implementing AI-based data science and offers practical explanations of key technologies: machine learning, deep learning, decision trees and random forests, evolutionary computation, swarm intelligence, and intelligent agents. In Part II, he describes the main steps in creating AI-based data science solutions for business problems, including problem knowledge acquisition, data preparation, data analysis, model ; development, and model deployment lifecycle. Finally, in Part III the author illustrates the power of AI-based data science with successful applications in manufacturing and business. He also shows how to introduce this technology in a business setting and guides the reader on how to build the appropriate infrastructure and develop the required skillsets. The book is ideal for data scientists who will implement the proposed methodology and techniques in their projects. It is also intended to help business leaders and entrepreneurs who want to create competitive advantage by using AI-based data science, as well as academics and students looking for an industrial view of this discipline.