While Model Trains

Read data blog posts.
Carefully handpicked.
Presented 3 at a time.

3 levels of complexity: How I approach data science storytelling

Susan Shu Chang

A framework for crafting storylines in talks: help the audience understand real life impacts, bridge the context to abstract or technical, technical deep dives exist to do something.

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Stop Hard Coding in a Data Science Project – Use Config Files Instead

Khuyen Tran

In a data science project, certain values such as file names, train-test split ratios, and hyperparameters often undergo frequent changes. By using configuration files instead of hard-coding these values, you can achieve better maintainability and flexibility.

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Data scientists work alone and that's bad

Ethan Rosenthal

"The norm is that of a lonely life for the data scientist. Whether they lie near analytics, machine learning, or elsewhere in the large latent space that spans this ill-defined role, just like in the curse of high-dimensionality, they are likely alone."

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