Effective Testing for Machine Learning (Part I)
Note: This is an extended version of the presentation I gave at PyData Global 2021. The recording will be available …
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Refactoring a Jupyter notebook into a maintainable pipeline: A step-by-step guide (Part II)
In the first part of this series, we described how to go from a legacy notebook to a single-task pipeline that we can …
Refactoring a Jupyter notebook into a maintainable pipeline: A step-by-step guide (Part I)
Update: The second part is available here. Over the last few months, We’ve talked to many data teams to help them …
We need a Ruby on Rails for Machine Learning
Rails allows anyone to build a blog engine in 15 minutes; how would this translate to the Machine Learning development …
Notebook meta-analysis: Jupyter as a zero-infrastructure alternative to experiment trackers
Existing experiment trackers come with a high setup cost. To get one working, you usually have to spin up a database and …
On writing clean Jupyter notebooks
Notebooks are a magnificent tool to explore data, but such a powerful tool can become hard to manage quickly. …