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Discover more about data (view source)

Revision as of 14:30, 21 February 2023

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[[Image:DataCon2022-Banner-EN.png |100%|Data Conference 2022: Driving Data Value and Insights for All Canadians, 23 + 24 February 2022]]
 
[[Image:DataCon2022-Banner-EN.png |100%|Data Conference 2022: Driving Data Value and Insights for All Canadians, 23 + 24 February 2022]]
 
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<strong>[https://expo.da-an.ca Virtual Expo]</strong>&nbsp;&nbsp;|&nbsp;&nbsp;
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<strong>[https://vexpodev.z9.web.core.windows.net/en/#/2203/lobby Virtual Expo]</strong>&nbsp;&nbsp;|&nbsp;&nbsp;
 
<strong>[https://wiki.gccollab.ca/Data_Conference_2022_Agenda Agenda]</strong>&nbsp;&nbsp;|&nbsp;&nbsp;
 
<strong>[https://wiki.gccollab.ca/Data_Conference_2022_Agenda Agenda]</strong>&nbsp;&nbsp;|&nbsp;&nbsp;
 
<strong>[https://wiki.gccollab.ca/Data_Conference_2022_Speakers Conference speakers]</strong>&nbsp;&nbsp;|&nbsp;&nbsp;
 
<strong>[https://wiki.gccollab.ca/Data_Conference_2022_Speakers Conference speakers]</strong>&nbsp;&nbsp;|&nbsp;&nbsp;
 
<strong>[https://wiki.gccollab.ca/Data_Conference_2022_Networking_Missions Networking Missions]</strong>&nbsp;&nbsp;|&nbsp;&nbsp;
 
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<strong>[https://wiki.gccollab.ca/Discover_more_about_data DISCOVER MORE ABOUT DATA]</strong>&nbsp;&nbsp;|&nbsp;&nbsp;
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<strong>[https://wiki.gccollab.ca/GC_Data_Conference_2023/Discover_more_about_data Discover more about data 2023]</strong>&nbsp;&nbsp;|&nbsp;&nbsp;
 
<strong>[https://wiki.gccollab.ca/Data_Conference_2022_Announcements Announcements]</strong>
 
<strong>[https://wiki.gccollab.ca/Data_Conference_2022_Announcements Announcements]</strong>
 
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<p class="recco">Recommended by Agriculture and Agri-Food Canada, a GC Data Community partner</p>
 
<p class="recco">Recommended by Agriculture and Agri-Food Canada, a GC Data Community partner</p>
 
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<p>(In French - original title: <strong>Analyse des données textuelles</strong>) Textual data analysis (TDA) makes it possible to explore and visualize a wide range of text collections: literary works, interview transcripts, political speeches, press files, archival documents, online surveys with open-ended questions, complaint files, and satisfaction surveys. This book provides a rigorous presentation of TDA methods, which combine exploratory statistics, visualizations, quantitative validation procedures, and qualitative approaches.</p>
 
<p>(In French - original title: <strong>Analyse des données textuelles</strong>) Textual data analysis (TDA) makes it possible to explore and visualize a wide range of text collections: literary works, interview transcripts, political speeches, press files, archival documents, online surveys with open-ended questions, complaint files, and satisfaction surveys. This book provides a rigorous presentation of TDA methods, which combine exploratory statistics, visualizations, quantitative validation procedures, and qualitative approaches.</p>
 
<p class="recco">Recommended by Agriculture and Agri-Food Canada, a GC Data Community partner</p>
 
<p class="recco">Recommended by Agriculture and Agri-Food Canada, a GC Data Community partner</p>
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<p>(In English) Quantitative bioimaging is a broad interdisciplinary field that exploits tools from biology, chemistry, optics, and statistical data analysis for the design and implementation of investigations of biological processes. Instead of adopting the traditional approach of focusing on just one of the component disciplines, this textbook provides a unique introduction to quantitative bioimaging that presents all of the disciplines in an integrated manner. The wide range of topics covered include basic concepts in molecular and cellular biology, relevant aspects of antibody technology, instrumentation and experimental design in fluorescence microscopy, introductory geometrical optics and diffraction theory, and parameter estimation and information theory for the analysis of stochastic data.</p>
 
<p>(In English) Quantitative bioimaging is a broad interdisciplinary field that exploits tools from biology, chemistry, optics, and statistical data analysis for the design and implementation of investigations of biological processes. Instead of adopting the traditional approach of focusing on just one of the component disciplines, this textbook provides a unique introduction to quantitative bioimaging that presents all of the disciplines in an integrated manner. The wide range of topics covered include basic concepts in molecular and cellular biology, relevant aspects of antibody technology, instrumentation and experimental design in fluorescence microscopy, introductory geometrical optics and diffraction theory, and parameter estimation and information theory for the analysis of stochastic data.</p>
 
<p class="recco">Recommended by Agriculture and Agri-Food Canada, a GC Data Community partner</p>
 
<p class="recco">Recommended by Agriculture and Agri-Food Canada, a GC Data Community partner</p>
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