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GC Data Conference 2023/networking (view source)
Revision as of 13:42, 20 February 2023
, 13:42, 20 February 2023no edit summary
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<li style="width:350px;">[https://csps-efpc.webex.com/csps-efpc/j.php?MTID=mafe90072f613f84fa33ee347a1f2bbb8 Data Science Network]</li>
<li style="width:350px;"><strong>[https://csps-efpc.webex.com/csps-efpc/j.php?MTID=mafe90072f613f84fa33ee347a1f2bbb8 Data Science Network]</strong></li>
<div class="mw-collapsible-content">The Data Science Network for the Federal Public Service is a new data science community that will facilitate data science capacity building and sharing of data science methods across the Government of Canada, allowing the public service as a whole to benefit from the use of automation and new data sources. The Network users share information on training, best practices, cutting-edge projects and more.
<div class="mw-collapsible-content">The Data Science Network for the Federal Public Service is a community that builds data science capacity by sharing data science methods across the Government of Canada and the greater data science community. The network allows the public service to benefit from the use of automation and new data sources. Members share information on training, best practices, innovative projects and accomplishments and other data science related themes.
<p><strong>Discussion questions</strong></p>
<ul>
<li>The future of natural language processing and machine learning: Speculate about the potential impact of NLP and machine learning on the government, as well as on industries such as healthcare, finance, and education. Discuss the challenges that must be overcome to realize this potential.</li>
<li>The impact of data science on society: Explore the ways in which data science is shaping the world around us, from personalized advertising to predictive policing. Discuss the ethical considerations that arise when using data science and machine learning, such as privacy, bias, and fairness.</li>
<li>The future of data science education: Discuss the skills that will be necessary for future data scientists, and explore different strategies for educating and training the next generation of data scientists.</li>
</ul>
<div class="button" role="button" style="color:DarkBlue; max-width:190px; background-color:#E0F6F6; margin-top:10px;">[https://csps-efpc.webex.com/csps-efpc/j.php?MTID=mafe90072f613f84fa33ee347a1f2bbb8 Join this session!]</div>
<div class="button" role="button" style="color:DarkBlue; max-width:190px; background-color:#E0F6F6; margin-top:10px;">[https://csps-efpc.webex.com/csps-efpc/j.php?MTID=mafe90072f613f84fa33ee347a1f2bbb8 Join this session!]</div>
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