Zach analyzes the well-known Google paper on machine learning systems after attending a "Papers We Love" meetup here in Columbus.
In the first post of our data education series James shares how to set yourself up for success when framing a machine learning problem.
Guy shares a fun project he worked on to demonstrate the importance of play in machine learning so you understand the story behind your data.
Guy shares some places where developers can access free data sets to get started with machine learning.
Jeff G wrote a regression tutorial using a popular Auto MPG data set to predict an automobile's fuel economy. It's a great distribution and logistics use case.