Do you use a whiteboard when thinking? [D]

📰 Reddit r/MachineLearning

Learn how to apply whiteboard-style thinking to machine learning and data science work for improved problem-solving

intermediate Published 29 Aug 2026

Action Steps

Draw diagrams to visualize complex models using tools like Graphviz or Cytoscape
Use online whiteboards like Mural or Google Jamboard to collaborate with team members
Test hypotheses by writing pseudocode or Python snippets on a whiteboard
Apply whiteboard-style thinking to debug code by visualizing data flows
Compare different approaches by sketching out architectures on a whiteboard

Who Needs to Know This

Data scientists and machine learning engineers can benefit from incorporating whiteboard-style thinking into their workflow to enhance collaboration and idea generation

Key Insight

💡 Whiteboard-style thinking can be applied to machine learning and data science work to improve problem-solving and collaboration

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Hello all, here is a chill post. When I was an undergrad, I really liked working things out on a whiteboard. Drawing stuff, talking through ideas out loud, testing little hypotheses. Now I work in radar DSP, and a lot of my work is code, numerical experiments, deep learning and waiting for training to finish 😅 I’m wondering how other people bring that whiteboard style of thinking into DSP, data science or ML work. Do you still use a

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Do you use a whiteboard when thinking? [D]

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