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SUMMARY:Basics of Computers
DESCRIPTION:Most of us have experience using a computer\, whether for school\, work\, or entertainment\, but how many of us have actually had an expert teach us how to use it? When one of your computing devices goes wrong\, do you struggle to understand why? Perhaps you do an internet search in the hope that someone else who has had the exact same problem as you found a solution that also works for you. It doesn’t need to be (quite) this way. This talk doesn’t teach you how to troubleshoot everything\, but does give you insight to how media\, programs and data are encoded and used by computers so you can make more sense of why computers behave the ways they do and solve some of your problems with greater efficiency and less frustration. We provide an approachable overview of how a computer works\, by both looking at their history and breaking one down to explain individual components\, before highlighting some of the tradeoffs to consider when buying a computer. We provide practical\, simple\, and actionable advice on digital security and show you a few “pro tips” on how to make the most of your workstation\, phone\, or whatever device you happen to use. Whether you have a lot or a little experience using your digital technology\, if you want to learn how to use your devices more effectively\, this workshop is for you!
URL:https://ccdhhn.ca/workshop/basics-of-computers/
LOCATION:Nova Scotia
CATEGORIES:1-4 hour workshop
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CREATED:20240422T154651Z
LAST-MODIFIED:20240422T154655Z
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SUMMARY:Collation (Technical)
DESCRIPTION:In this technical webinar\, LEMDO Project Manager\, Navarra Houldin\, will teach LEMDO encoders how to create links in the LEMDO environment using anchors\, pointers\, and references.
URL:https://ccdhhn.ca/workshop/collation-technical/
LOCATION:LEMDO
CATEGORIES:1-4 hour workshop
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SUMMARY:Machine Learning and Open Science: Research Data Management Community of Practice
DESCRIPTION:Date: 26 September 2024 \n\n\n\nMachine Learning and Open Science: Research Data Management Community of Practice Online \n\n\n\nOur Research Data Management Community of Practice is back with a bang! September’s session is all about Machine Learning and Open Science. With training data impacting research results\, what’s the best way to share ML-based science and ensure research is reproducible and valid? Join us Thursday\, September 26 at 11 AM for a great discussion between researchers! \n\n\n\nDr. Alemu Gonsamo (Canada Research Chair in Remote Sensing of Terrestrial Ecosystems\, Earth\, Environment & Society) and Ricardo Barros Lourenco (Earth\, Environment & Society) will unpack training algorithms with data from the Ministry of Natural Resources and then sharing data for a recent paper on peat depth and carbon storage. \n\n\n\nDr. Cynthia Lokker (Health Research Methods\, Evidence & Impact) and Rick Parrish (Programmer/Analyst\, Health Information Research Unit) will discuss sharing machine learning data for an article and their move from data available on request to a publicly findable restricted access dataset backed by a data sharing agreement. Rick will also share details on depositing an algorithm separately from a dataset. 
URL:https://ccdhhn.ca/workshop/machine-learning-and-open-science-research-data-management-community-of-practice/
LOCATION:McMaster University\, 1280 Main St W\, Hamilton\, Ontario\, L8S 4L8\, Canada
CATEGORIES:1-4 hour workshop
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