Introduction to Machine Learning and scikit-learn: 1 Day & 5 Day Course

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Update: These courses have now been taught successfully. If you are interested let me know.

Note: These were originally delivered through Persontyle, however I am no longer affiliated with them in any way after a very unprofessional experience.

I am happy to announce I will be teaching two Machine Learning courses over the summer: A one day high level overview of machine learning is all about and a longer 5 day introductory course that goes into more depth and includes lots of hands on labs with Python scikit-learn.  See below for details.

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CDAC Workshop: What does the future of digital humanitarian response look like?

typhon_social_media_mappingToday I attended the CDAC Workshop Digital Humanitarian Response – What Should the Future Look Like?

Organised by Justine McKinnon from Standby Task Force and Jessica Roland from Translators Without Borders, it was attended by 25 odd (operational) people from various humanitarian organisations (MSF, Red Cross, World Vision, ACAPS, CDAC …) with among them quite a few familiar faces.  The aim of the workshop was quite ambitious and the question was not fully answered but it triggered some good discussion and useful connections were made. (BTW: What will happen to all the post-its? They never got discussed !?)

I managed to scribble down some remarks that stuck with me and these are dumped below. Its only a small, random subset of what was talked about but generally very similar in content to the Rescue Global workshop I wrote about in my last post.

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Digital Humanitarians and Disaster response: A Discussion with Rescue Global

I recently attended a workshop with Rescue Global (RG) and thiRescue-Global-Logos blog post captures some of the discussion and points that are interesting and useful to digital humanitarians like myself. The better we understand how disaster response works (or doesn’t work) the better we can build our tools and get them used in anger.

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