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Doing Science with Data

As part of Cybera’s mandate to explore new technologies and share our experiences with stakeholders, we are actively looking for new ways to improve our processes and bring value to our research and education community. One of the first projects I worked on when I joined Cybera was our metrics dashboard… More specifically, I was

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Why you should care about internet number resources (and here’s how to get involved)

The American Registry for Internet Numbers (ARIN) is the non-profit, community driven organization responsible for managing internet number resources in North America and parts of the Caribbean. Anyone residing in the ARIN region with an interest in internet governance is encouraged to apply for the Fellowship Program.

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Data Science – So Hot Right Now!

Last month’s Open Data Science Conference (ODSC) started with some hands-on problem solving for attendees to mull over: How long will it take 3,000 people  to filter through one registration desk, given there are four possible streams they could register through, sorted alphabetically by last name? You might be tempted to reference last year’s registration

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SDN Symposium 2015

Cybera will be hosting an invite-only, one-day technical symposium in which participants will learn and exchange practical technical experiences with SDN, OpenFlow, and OpenStack. The symposium will kick-start exploration and adoption in the Canadian Innovation, Research and Education community. It will precede the 2015 Cyber Summit, which this year is focusing on the evolving discipline

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CRTC Wraps Up Hearing on the Future of Broadband in Canada

Last month, the Canadian Radio-television and Telecommunications Commission (CRTC) wrapped up a three-week hearing on the future of broadband in Canada. Nearly 90 academics, public interest groups, individuals, municipalities, and telecom companies appeared before the commission to comment on the feasibility of including high speed internet as a “basic telecommunications service.” The scope of the

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Systems and statistics: moving data science beyond machine learning

By Jordan Engbers, PhD from Desid Labs Inc. Data science focuses on applying statistical methods — primarily machine learning algorithms — to transform data resources, big or small, into data products that provide actionable insights. This near-complete reliance on statistical methods has led some to argue there is little difference between data science and statistics (but see

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