Machine Learning
What I Learned from Volunteering as a Machine Learning Teacher this Year
From September to December this year, I volunteered as a machine learning teacher for the ML & AI course at
Hi - I'm Sarah, Machine Learning Engineer
I've worked both as a Data Scientist training models and now deploying them into production using tools like Databricks. I love learning and writing about MLOps, deploying reliable models, tracking experiments, research, and real-world news and use cases of GenAI beyond the hype cycles.
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ML Ops
How to Validate Config YAML with Pydantic in Machine Learning Pipelines
1. Why Use Config Files (in ML)?
In ML projects, you always want to keep data and code separate. The
ML Ops
Your ML Repo Starter Kit: src Layout, uv venv, GitHub Push
Most ML ideas start life in a notebook. Some even grow up there. But if you’ve ever tried to
ML Ops
How I Set Up a Machine Learning Project with `uv` and `pyproject.toml`
One of the biggest challenges in machine learning is ensuring that an experiment can be reliably reproduced. Of course, this
ML Ops
Using Taskfile with uv and pyproject.toml to manage your Python Machine Learning projects
"Use uv to manage your Python projects" is not a new take anymore, but have you tried Taskfile?
ML Ops
Adding a src/ Folder to an Existing ML Project: Step-by-Step Guide
So you already created a repository for your ML project, but now you want a better way to organize your
ML Ops
What is MLflow model logging and when do I use which logging method?
If you’ve trained a machine learning model and thought “Wow, this one is actually good!”, only to realize a