Data, Machine Learning, and Austin B-Cycle

  • January 13, 2017
  • Scott
  • 0 Comments

Tim Gasser has written a series of posts analyzing Austin’s B-Cycle data. It’s a fascinating study of a topic of interest to Austinites: the B-Cycles; and a great set of examples for how to apply data science and machine learning to a data set.  It’s practically a tutorial on modern tools for data science.

adobe-spark-8And there may be a nice public-good benefit if Austin B-Cycle can improve their service as a result of Tim’s contributions.

 

Related Posts
  • June 15, 2017
  • Krista
  • 0 Comments

We are excited to announce our first customer speaker for Driven 2017. Quang Ton, leader of Schlumberger's pro...

  • June 12, 2017
  • Scott
  • 0 Comments

We had the pleasure of presenting Brazos CX Insights to the bpmNEXT 2017 conference in April.  As we've previ...

  • June 11, 2017
  • Scott
  • 2 Comments

Anatoly does a great job of explaining the event types and why you really only need 5 or 6 of them to fully ex...