Keeping this blog, moving the Microsoft content to new location
Hello there! If you’ve been following along or subscribing to this blog, I have some news. I have copied all …
Author Archives: buckwoody
DevOps for Data Science – DevOps isn’t the Toolchain (But you still have to care about the tech)
DevOps for Data Science –DevOps isn’t the Toolchain In this series on DevOps for Data Science, I’m covering the Team …
DevOps for Data Science – Defining DevOps
I’m wading into treacherous waters here. Computing terms often defy explanation, especially newer ones. While “DevOps” or Developer Operations has …
DevOps for Data Science – Who needs it?
Data Scientists have often worked in a bit of a “silo” – meaning they were off to the side in …
The Keys to Effective Data Science Projects – Part 10: Project Close-Out with the TDSP
Data Science projects have a lot in common with other IT projects in general, and with Business Intelligence in particular. …
The Keys to Effective Data Science Projects – Part 9: Testing and Validation
We’re continuing our discussion of the series of the Keys to Effective Data Science Projects, this time focusing on Testing and Validating …
The Keys to Effective Data Science Projects – Part 8: Operationalize
We’re in part eight on our journey through the series of the Keys to Effective Data Science Projects –“Operationalization” – a …
The Keys to Effective Data Science Projects – Part 7: Create and Train the Model
We’re in part seven on our series of the Keys to Effective Data Science Projects. This is the section that most …
The Keys to Effective Data Science Projects – Part 6: Feature Selection
We’re in part six on our series of the Keys to Effective Data Science Projects. I won’t cover basic Feature …
The Keys to Effective Data Science Projects – Part 5: Update the Data
In this series on the “Keys to Effective Data Science Projects”, we’ve seen a process we can use, we’ve determined …
