Defining success – Four secrets of a successful data science experiment

03 Jun 2016 By Roger Peng Share this on → Twitter | Facebook | Google+ Editor’s note: This post is excerpted from the book Executive Data Science: A Guide to Training and Managing the Best Data Scientists, written by myself, Brian Caffo, and Jeff Leek. This particular section was written by Brian Caffo. Defining success is a crucial part of managing a data science experiment. Of course, success is often context specific. However, some aspects of success are general enough to merit discussion. A list of hallmarks of success includes: New knowledge is created. Decisions or policies are made based on the outcome of the experiment. A report, presentation, or app with impact is created. It is learned that the data can’t answer the question being asked of it. Some…


Link to Full Article: Defining success – Four secrets of a successful data science experiment

Pin It on Pinterest

Share This

Join Our Newsletter

Sign up to our mailing list to receive the latest news and updates about homeAI.info and the Informed.AI Network of AI related websites which includes Events.AI, Neurons.AI, Awards.AI, and Vocation.AI

You have Successfully Subscribed!