ATOM is meeting on Tuesday, November 19th, 6:30pm, at Galvanize!
In this session, Nick Buker will host a discussion on ML project successes and failures.
Why do data science projects fail?
The title of this discussion is not a rhetorical question. Let's pool our knowledge to find the common traits of successful and unsuccessful data science projects in the wild. Here are two discussions on this topic (in both watching and reading media):
The perspective of a data scientist (talk starts around 5m30s):https://www.youtube.com/watch?v=FW2dqQksRwo
The perspective of a biz dude:https://www.forbes.com/sites/bernardmarr/2016/09/13/are-these-the-real-reasons-why-tech-projects-fail/
Advanced Topics on Machine learning ( ATOM ) is a learning and discussion group for cutting-edge machine learning techniques in the real world. We work through winning Kaggle competition entries or real-world ML projects, learning from those who have successfully applied sophisticated data science pipelines to complex problems.
As a discussion group, we strongly encourage participation, so be sure to read up about the topic of conversation beforehand !
ATOM can be found on PuPPy’s Slack under the channel #atom, and on PuPPy’s Meetup.com events.
We're kindly hosted by Galvanize (https://www.galvanize.com). Thank you !