This is part eight of a series on launching a data science project. At this point in the data science process, we've launched a product into production. Now it's time to kick back and hibernate for two months, right? Yeah, about that... Just because you've got your project in production doesn't mean you're done. First…
Deploying A Model: The Microservice Approach
This is part seven of a series on launching a data science project. Up to this point, we've worked out a model which answers important business questions. Now our job is to get that model someplace where people can make good use of it. That's what today's post is all about: deploying a functional model.…
How Much Can We Earn? Implementing A Model
This is part six of a series on launching a data science project. Last time around, we walked through the idea of what building a model entails. We built a clean(er) data set and did some analysis earlier, and in this post, I'm going to build on that. Modeling Because our question is a "how…
The Basics Of Data Modeling
This is part five of a series on launching a data science project. At this point, we have done some analysis and cleanup on a data set. It might not be perfect, but it's time for us to move on to the next step in the data science process: modeling. Modeling has five major steps,…
Data Processing: An Example
This is part four of a series on launching a data science project. An Example Of Data Processing Last time around, I spent a lot of time talking about data acquisition, data cleansing, and basic data analysis. Today, we're going to walk through a little bit of it with the data professional salary survey. First,…
First We Speak Linux Webinar Is Today!
Today's the day: We Speak Linux is hosting its inaugural event. There's still time to register for the webinar, unless you're reading this after 12 PM Eastern, in which case you've run out of time and must content yourself with watching the recording after the fact and then seeing the next one live. You can…