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1. |
Record Nr. |
UNINA9910163970403321 |
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Autore |
Reader Capitol |
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Titolo |
Summary of Unscientific America |
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Pubbl/distr/stampa |
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Cork, : Primento Digital, 2013 |
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ISBN |
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Descrizione fisica |
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1 online resource (23 p.) |
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Disciplina |
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Soggetti |
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POLITICAL SCIENCE / Essays |
POLITICAL SCIENCE / General |
SCIENCE / General |
POLITICAL SCIENCE / Political Ideologies / Democracy |
POLITICAL SCIENCE / Propaganda |
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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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Description based upon print version of record. |
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Nota di contenuto |
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Intro -- Title page -- Book Presentation -- Book Abstract -- About the Author -- Important Note About This Ebook -- Summary of Unscientific America (Chris Mooney and Sheril Kirshenbaum) -- Why Pluto Matters -- Rethinking the Problems of Scientific Illiteracy -- From Sputnik to Sagan -- Third Culture, or Nerd Culture? -- Science Escape 2008 -- Unpopular Science -- Hollywood and the Mad Scientists -- Bruising Their Religion -- The Bloggers Cannot Save Us -- Is Our Scientists Learning? -- Buy the Book -- About the Summary Publisher -- Copyright. |
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Sommario/riassunto |
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This ebook consists of a summary of the ideas, viewpoints and facts presented by Chris Mooney and Sheril Kirshenbaum in their book "Unscientific America: How Scientific Illiteracy Threatens Our Future". This summary offers a concise overview of the entire book in less than 30 minutes reading time. However this work does not replace in any case Chris Mooney's and Sheril Kirshenbaum's book.<br>Mooney and Kirshenbaum argue that science and society have been disconnected in the modern area they show the consequence and propose solutions to that situation. <br> |
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2. |
Record Nr. |
UNINA9910300364903321 |
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Autore |
Vermeulen Andreas François |
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Titolo |
Practical Data Science : A Guide to Building the Technology Stack for Turning Data Lakes into Business Assets / / by Andreas François Vermeulen |
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Pubbl/distr/stampa |
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Berkeley, CA : , : Apress : , : Imprint : Apress, , 2018 |
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ISBN |
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Edizione |
[1st ed. 2018.] |
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Descrizione fisica |
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1 online resource (824 pages) |
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Disciplina |
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Soggetti |
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Data mining |
Big data |
Data structures (Computer science) |
Data Mining and Knowledge Discovery |
Big Data/Analytics |
Big Data |
Data Storage Representation |
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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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Nota di contenuto |
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Chapter 1: Data Science Technology Stack -- Chapter 2: Vermeulen - Krennwallner - Hillman - Clark -- Chapter 3: Layered Framework -- Chapter 4: Business Layer -- Chapter 5: Utility Layer -- Chapter 6: Three Management Layers -- Chapter 7: Retrieve Super Step -- Chapter 8: Assess Super Step -- Chapter 9: Process Super Step -- Chapter 10: Transform Super Step -- Chapter 11: Organize and Report Super Step -- . |
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Sommario/riassunto |
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Learn how to build a data science technology stack and perform good data science with repeatable methods. You will learn how to turn data lakes into business assets. The data science technology stack demonstrated in Practical Data Science is built from components in general use in the industry. Data scientist Andreas Vermeulen demonstrates in detail how to build and provision a technology stack to yield repeatable results. He shows you how to apply practical methods to extract actionable business knowledge from data lakes consisting of |
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