a-primer-on-data-drift 
KDnuggets
AUGUST 4, 2025
In this article, we go over essential Python libraries that address the core challenges of MLOps: experiment tracking, data versioning, pipeline orchestration, model serving, and production monitoring. DVC: Data Version Control What it solves : Managing large datasets and complex data transformations. Lets get started!
Dataiku
JUNE 22, 2020
When a machine learning model is deployed in production, the main concern of data scientists is the model pertinence over time. Is the model still capturing the pattern of new incoming data, and is it still performing as well as during its design phase?
O'Reilly on Data
JULY 25, 2023
Or even if you haven’t yet, then you’ve at least heard about these tools in your newsfeed over the past year. So far I’ve read a gazillion blog posts about people’s experiences with these AI coding assistance tools. This article summarizes what I learned from that experience. Setting the Stage: Who Am I and What Am I Trying to Build?
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