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 … Continue reading Mapping youth well-being worldwide with open data – From DataKind
DrivenData.org is a relatively new site focused on running data science competitions for social good. Current and Previous competitions deal with: Finding Clean Water Donating Blood Spending for Education Modeling Healthcare Give it a try and Good Luck!
Continuing this weeks theme on data science colleges, the nice folks at Silk.co created an interactive map of the Data Science University Programs across the globe. Click the map to view the interactive visualization. Where are the Programs? Based upon the visualization, it is easy to see most of the programs are in the United … Continue reading Data Science College Programs Across the Globe [Interactive Map]
Creating the Awesome Data Science Colleges List has opened the data for some analysis. The above chart shows the states with the most data science programs based upon the total number of colleges in the state (dark red is best, followed by orange, followed by yellow, and finally black is for states with no data … Continue reading Data Science Colleges by US State
I recently compiled a huge list of colleges and universities with data science-related degree programs. The compiled list is available on Github as Awesome Data Science Colleges. I encourage you to contribute to the list if you know of missing programs.
A great read for people without an extensive math, statistics or computer science background. And still an interesting read for those people. The book includes tons of non-technical descriptions for data science terms. You can download a copy of the book on SlideShare, or you can purchase a paperback copy via Lulu.
HeroX, an organization that runs competitions for big ideas, has recently launched a competition that is relevant to the data science community. It is called the Cognitive Computing Challenge The challenge sounds fairly simple. Build a cognitive system that can read a document, then load a database with what it finds. However, don't be fooled … Continue reading $200,000 Cognitive Computing Challenge
A Guide for Doing Data Science for Good via DataLook The guide provides some excellent tips on how to get involved.
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 … Continue reading Yinyang K-Means: A Drop-In Replacement of the Classic K-Means
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: How will Analytics help us? What does an analytics team look like in our organization? How do we start? Luckily, … Continue reading Building an Analytics Team at 500px – Helpful Advice