Here is a list from Data Science Central of top Python Machine learning projects on GitHub.
Are you curious how to measure the efficiency of your team? Are any of the management strategies you are using actually having an impact? Check out this article from Tech Republic to get some ideas on how to look at the number of features you are developing as one measure of success.
Career Spotlight: What I Do as a Data Scientist zite.to/1zIVRDv
YC-Backed Yhat Gives Data Science Teams A Head Start zite.to/1EPjQ75
Have you seen a data scientist job posting like this: “Expert knowledge of R, Matlab, or SAS and ability to write efficient code in at least one language (preferably Java, C++, Python, or Perl).” We want it all from one candidate.
Here’s an article from VentureBeat about Building data science teams: The power of the technology stack that will help you think about it differently and break it down it to something more manageable.
Kaggle InClass: Stanford’s “Getting a Handel on Data Science” zite.to/17fmC7w
What Should Data Scientists Know? zite.to/1FaJfsT
Salesforce is slowly siphoning LinkedIn’s data science team zite.to/1AFIyDz
You Need an Algorithm, Not a Data Scientist zite.to/1ABdJy3
First Look: Dataiku’s Data Science Studio zite.to/1F3RcLi