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 …
Category Archives: Data Science, Artificial Intelligence and Advanced Analytics Project Management
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 …
The Keys to Effective Data Science Projects – Part 4: Explore the Data
We’re in a series on the “Keys to Effective Data Science Projects”. We’ve identified the question we want to solve, …
The Keys to Effective Data Science Projects – Part 3: Import Initial Data
We’re in a series on the “Keys to Effective Data Science Projects” – and we’ve completed the hardest part – …
The Keys to Effective Data Science Projects – Part 2: The Question
In a previous post I explained where to start in a Data Science Project. I’ve also given you a Project …
A Data Science Microsoft Project Template You Can Use in Your Solutions
In most of the Data Science and AI articles, blogs and papers I read, the focus is on a particular …
