Collaborative Data Science with Kaggle Kernels and Datasets
Details
RLadies Los Angeles and LA Women Who Code are excited to present
Collaborative Data Science with Kaggle Kernels and Datasets
by Megan Risdal
Code and data sharing in collaboration with others is integral to open data science. On Kaggle, the world’s largest online data science community, users use Kernels as a platform to share and execute reproducible code and Datasets to access, analyze, and maintain public data projects. Since the introduction of Kernels in 2015, users have written tens of thousand of kernels in R, Python, and Julia. And in the past year, users and organizations have published over 2,000 public datasets. Over this time, Kernels and Datasets have transformed how the data science community tackles machine learning problems, collaborates, and learns. In this talk, Megan Risdal uses community metrics and insights to share what Kernels and Datasets have taught Kaggle about collaborative data science.
Megan (https://twitter.com/MeganRisdal) is a Community Advocate and Data Scientist at Kaggle. She holds master’s degrees in linguistics from UCLA and North Carolina State University.
Where: Google Venice (https://www.google.com/maps/place/400+Hampton+Dr,+Venice,+CA+90291/@33.9954407,-118.4757689,20z/data=!4m5!3m4!1s0x80c2bacf14e5fcb9:0x325955854edc3b52!8m2!3d33.9955779!4d-118.4760707), 400 Hampton Drive, Venice 90291
(Note: Enter through the gate on Sunset here: https://goo.gl/QwgtQf ).
When: Tuesday October 17th, 2017
6.00: Doors open, food and drinks served.
7.00: Talk start.
8.00: Talk end.
Unfortunately parking will not be provided, but there are public parking lots close by.
Food and drinks will be provided.
Bring photo ID - we cannot admit without it. Please do not attend if you are not on the list of registered attendees.
Please be Googley (http://www.businessinsider.com/the-meanings-of-googliness-2013-8), and if you’re not going to be able to attend, cancel so that someone else can attend instead.