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Mapping youth well-being worldwide with open data – From DataKind

Mapping youth well-being worldwide with open data – From DataKind

Once again, I was honored to write a guest post for DataKind. This time is was on the spread of open source software by data-do-gooders. A couple years ago, DataKind hosted a DataDive in Washington D.C. and some of the participants created a mapping software project titled DataTools 2.0. Since then, it has been replicated by a number of groups around the globe. Read the full post on the DataKind blog to find out more.

Yinyang K-Means: A Drop-In Replacement of the Classic K-Means

This week; Yufei Ding, Yue Zhao, Xipeng Shen, Madanlal Musuvathi, and Todd Mytkowicz will be presenting Yinyang K-means at the 2015 International Conference on Machine Learning.

The algorithm guarantees the same results as traditional K-means, but it produces results with an order of magnitude higher performance.

An abstract of the paper and a PDF download can be accessed at Yinyang K-Means: A Drop-In Replacement of the Classic K-Means with Consistent Speedup.

Building an Analytics Team at 500px – Helpful Advice

Organizations everywhere are racing to build analytics/data science teams. Big Data is everywhere and companies don’t want to fall behind. Unfortunately, many organizations are struggling to get started because of questions similar to the following:

  1. How will Analytics help us?
  2. What does an analytics team look like in our organization?
  3. How do we start?

Luckily, the analytics team at 500px, a photography community site, was kind enough to provide a detailed overview, Building Analytics at 500px, of what really happens when building an analytics team. The overview provides:

  • Headaches
  • Infrastructure
  • Evangelism
  • And more

If your organization is considering adding an analytics or data science team, this article is definitely worth reading.