Why do some [most] data science projects die? Method Data Science Discussions: Day 2 While we're all in self-isolation, I'm holding data science discussions over the next few weeks. Here are some thoughts from my morning walk, also posted on Instagram. Visit https://lnkd.in/gPapA_B to learn how to follow along and participate. #datascience #deeplearning #python
Good share. I’ve seen a lot of ds projects die, mostly due to mismatch between mgt and developer expectations, so I just don’t use the term “data science” anymore! It’s machine learning or business intelligence or product management. Specific.
Data Scientist at Direct Line Group
5yHi Beau, thanks for the starting up these discussions. Some great points you make. I think constant communication between stakeholders/interested parties etc is key throughout. But agree getting a clear and concise view on what the projects objectives are up front is crucial. Looking forward to the next daily discussion, thanks again Beau. Keep safe and well!!!