GitHub - datasciencemasters/go: The Open Source Data Science Masters
Note from the Editor: Take Two In the old days of 2013, the OSDSM was born. Then, there were "little to no Data Scientists with 5 years experience, because the job simply did not exist." (David Hardtke, Nov 2012) Since then, history has witnessed many things, including: • Data Scientists working across industries and the world • social media manipulation disrupts many elections • BLM and #metoo an
Data Science Wars: Python vs. R - insideAI News
As I frequently travel in data science circles, I’m hearing more and more about a new kind of tech war: Python vs. R. I’ve lived through many tech wars in the past, e.g. Windows vs. Linux, iPhone vs. Android, etc., but this tech war seems to have a different flavor to it. What feels different in this case is that the application area is the same, namely performing work in data science where the so
PlanOut | A framework for online field experiments
Focus on parameters PlanOut provides randomized parameter values to Internet services. Instead of using constants for user interface elements or switches controlling the rollout of a new feature or ranking model, just use PlanOut to determine the value of these parameters. Now you have an experiment. Simple or complex It is easy to implement simple A/B tests in PlanOut. But it's also not much hard
How Python became the language of choice for data science
Tweet Nowadays Python is probably the programming language of choice (besides R) for data scientists for prototyping, visualization, and running data analyses on small and medium sized data sets. And rightly so, I think, given the large number of available tools (just look at the list at the top of this article). However, it wasn’t always like this. In fact, when I started working on my Ph.D. back
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Getting Started With Python for Data Science - Untrod
