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X-ORIGINAL-URL:https://www.apegs.ca
X-WR-CALDESC:Events for APEGS
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TZID:America/Regina
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TZOFFSETFROM:-0600
TZOFFSETTO:-0600
TZNAME:CST
DTSTART:20220101T000000
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20231127
DTEND;VALUE=DATE:20231130
DTSTAMP:20260419T093402
CREATED:20230726T163234Z
LAST-MODIFIED:20230726T163458Z
UID:11783-1701043200-1701302399@www.apegs.ca
SUMMARY:Saskatchewan Geological Open House
DESCRIPTION:Event Format: Conference \nLocation: Saskatoon\, SK \nHosting Organization: Saskatchewan Geological Society \nCourse Summary: The conference is co-hosted by the Saskatchewan Geological Survey (Ministry of Energy and Resources\, Government of Saskatchewan)\, and the independent\, non-profit Saskatchewan Geological Society.  This event fulfills the mandates of both groups by profiling high-quality geoscience in support of Saskatchewan’s mineral industry while promoting earth sciences in the public at large. \nThe Open House continues to be the premier annual meeting venue for mining and mineral exploration companies active in Saskatchewan with over 700 local\, national\, and international delegates attending annually. \nHow to Register: Click here for more information and to register. \nEvent Contact: Saskatchewan Geological Society – OpenHouseER@gov.sk.ca \nDisclaimer: The views expressed during this event are those of the hosting organization and do not necessarily represent the views of APEGS.
URL:https://www.apegs.ca/event/saskatchewan-geological-open-house-2
LOCATION:Delta Hotels by Marriott Bessborough\, 601 Spadina Crescent East\, Saskatoon\, Saskatchewan\, S7K 3G8\, Canada
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DTSTART;TZID=America/Regina:20231129T080000
DTEND;TZID=America/Regina:20231129T170000
DTSTAMP:20260419T093402
CREATED:20230511T213924Z
LAST-MODIFIED:20230511T213924Z
UID:11417-1701244800-1701277200@www.apegs.ca
SUMMARY:iPolytek – Big Data\, Algorithms and Machine Learning Explained – Online Course
DESCRIPTION:This course is an overview of data analytics – the motor behind the Internet of Things and artificial intelligence. We look at machine learning methods and applications and how they have led to the rise of intelligent systems. We discuss the role of algorithms in industry and society. We conclude the course with a discussion of the future of the human-machine relationship looking at both the advantages and risks intelligent systems pose to society\, the environment and the economy. \nThis course is suitable for non-computer scientists/engineers. \nIt is meant to provide an overall understanding of the new information technologies that are changing the way we do business\, manufacture and sell products\, and monitor\, manage and optimize engineered systems (for example\, smart cities and autonomous cars). \nTime: 4-hour self-paced course. Access this course online 24/7 for up to 2 years. \nLocation: Online – Register anytime and gain immediate access \nClick here for more information and to register.
URL:https://www.apegs.ca/event/ipolytek-big-data-algorithms-and-machine-learning-explained-online-course-4
LOCATION:Online
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