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1. |
Record Nr. |
UNINA9910466322403321 |
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Autore |
Druart Delphine |
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Titolo |
Laisse-moi jouer, j'apprends ! / / Delphine Druart, Augusta Wauters ; preface de Jean-Pierre Pourtois |
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Pubbl/distr/stampa |
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Bruxelles : , : De Boeck, , 2017 |
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ISBN |
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Descrizione fisica |
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1 online resource (168 pages) |
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Collana |
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Disciplina |
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Soggetti |
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Educational games |
Electronic books. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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2. |
Record Nr. |
UNINA9910698202303321 |
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Titolo |
Progress report for automotive propulsion materials program |
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Pubbl/distr/stampa |
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Washington, D.C, : U.S. Dept. of Energy, Office of FreedomCAR and Vehicle Technologies |
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ISSN |
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Descrizione fisica |
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volumes : digital, PDF file |
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Disciplina |
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Soggetti |
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Motor vehicles - Technological innovations |
Propulsion systems - Materials - Research |
Periodicals. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Periodico |
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Note generali |
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Description based on first issue; title from title screen (viewed on July 2, 2007). |
Latest issue consulted: FY 2006. |
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3. |
Record Nr. |
UNINA9910820139503321 |
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Autore |
Howard Yetta |
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Titolo |
Ugly differences : queer female sexuality in the underground / / Yetta Howard |
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Pubbl/distr/stampa |
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Urbana : , : University of Illinois Press, , [2018] |
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©2018 |
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ISBN |
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Descrizione fisica |
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Collana |
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Illinois scholarship online |
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Disciplina |
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Soggetti |
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Lesbians - Identity |
Ugliness |
Queer theory |
Lesbians in mass media |
Alternative mass media |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Previously issued in print: 2018. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Introduction: ugliness, underground, queer difference -- Postpunk desires -- The language of violation -- Politically incorrect, visually incorrect -- The erotics of artificiality -- Conclusion: the negative. |
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Sommario/riassunto |
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'Ugly Differences' explores queer female sexuality's symbiotic relationship with ugliness and offers a way to see worth in ugliness as a generative category for reimagining the inhabitation of gender, sexual, and ethnic differences. Ugliness, in this work, is a multipronged concept: it equates with the disagreeable and pejorative traits that are attributed to queerness; it aligns itself with nonwhite, nonmale, and nonheterosexual physicality and experience; and it refers to anti-aesthetic textual practices, which are located in/as underground culture. |
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4. |
Record Nr. |
UNINA9910736015903321 |
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Autore |
Kulkarni Akshay |
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Titolo |
Introduction to Prescriptive AI : A Primer for Decision Intelligence Solutioning with Python / / by Akshay Kulkarni, Adarsha Shivananda, Avinash Manure |
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Pubbl/distr/stampa |
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Berkeley, CA : , : Apress : , : Imprint : Apress, , 2023 |
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ISBN |
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Edizione |
[1st ed. 2023.] |
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Descrizione fisica |
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1 online resource (205 pages) |
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Altri autori (Persone) |
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ShivanandaAdarsha |
ManureAvinash |
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Disciplina |
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Soggetti |
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Artificial intelligence |
Decision making - Data processing |
Python (Computer program language) |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Chapter 1: Decision Intelligence Overview -- Chapter 2: Decision Intelligence Requirements -- Chapter 3: Decision Intelligence Methodologies -- Chapter 4: Interpreting Results from Different Methodologies -- Chapter 5: Augmenting Decision Intelligence Results into the Business Workflow -- Chapter 6: Actions, Biases and Human-in-the-Loop -- Chapter 7: Case Studies. |
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Sommario/riassunto |
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Gain a working knowledge of prescriptive AI, its history, and its current and future trends. This book will help you evaluate different AI-driven predictive analytics techniques and help you incorporate decision intelligence into your business workflow through real-world examples. The book kicks off with an introduction to decision intelligence and provides insight into prescriptive AI and how it can be woven into various business strategies and frameworks. You'll then be introduced to different decision intelligence methodologies and how to implement them, along with advantages and limitations of each. Digging deeper, the authors then walk you through how to perform simulations and interpret the results. A full chapter is devoted to embedding decision intelligence processes and outcomes into your business workflow using various applications. The book concludes by exploring different |
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cognitive biases humans are prone to, and how those biases can be eliminated by combining machine and human intelligence. Upon completing this book, you will understand prescriptive AI, tools, and techniques and will be ready to incorporate them into your business workflow. You will: Implement full-fledged decision intelligence applications using Python Leverage the tools, techniques, and methodologies for prescriptive AI Understand how prescriptive AI can be used in different domains through practical examples Interpret results and integrate them into your decision making. |
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