Data science project planning

Win-Vector Blog 2013-03-15

Summary:

Given the range of wants, diverse data sources, required innovation and methods it often feels like data science projects are immune to planning, scoping and tracking. Without a system to break a data science project into smaller observable components you greatly increase your risk of failure. As a followup to the statistical ideas we shared [...]

Link:

http://www.win-vector.com/blog/2013/02/data-science-project-planning/?utm_source=rss&utm_medium=rss&utm_campaign=data-science-project-planning

From feeds:

Statistics and Visualization ยป Win-Vector Blog

Tags:

analytics opinion data science pragmatic machine learning analytics project planning data science projet planning project planning

Authors:

John Mount

Date tagged:

03/15/2013, 20:11

Date published:

02/01/2013, 13:14