dwhitena

8 ms·

1. 61.▲
   Analyzing the 2016 World Chess Championship(medium.com)

   12 points by dwhitena 10y ago|2 comments
2. 62.▲
   Holding Machine Learning Models Accountable(medium.com)

   17 points by dwhitena 10y ago|3 comments
3. 63.▲
   Hold Your Machine Learning and AI Models Accountable(medium.com)

   2 points by dwhitena 10y ago|0 comments
4. 64.▲
   by dwhitena 10y ago

   I definitely agree here. As a data scientist, sometimes it seems like we are in the wild west as far as reproducibility and versioning of our analyses. This seems like an interesting project that tackles some of the data versioning stuff.
5. 65.▲
   by dwhitena 10y ago

   This is awesome! Great to see so much momentum on the Go data science front (see https://github.com/gopherds/resources/blob/master/tooling/RE... for more). Go provides a great integrity and deploy
6. 66.▲
   Common Go for Data Science Questions(datadan.io)

   5 points by dwhitena 10y ago|1 comments