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1.
Interpretable models with boosting, symbolic regression and e-graphs (mchav.github.io)
1 point by mchav 4 days ago | past | discuss
2.
What category theory teaches us about dataframes (mchav.github.io)
189 points by mchav 15 days ago | past | 65 comments
3.
Show HN: Sabela – A Reactive Notebook for Haskell (datahaskell.org)
3 points by mchav 42 days ago | past
4.
Show HN: Using an LLM as a "semantic regularizer" for feature engineering (medium.com/mschavinda)
1 point by mchav 86 days ago | past
5.
Learning better decision trees – LLMs as Heuristics for Program Synthesis (mchav.github.io)
1 point by mchav 86 days ago | past
6.
State of Haskell Survey 2025 (surveymonkey.com)
3 points by mchav 4 months ago | past
7.
Haskell IS a great language for data science (jcarroll.com.au)
6 points by mchav 4 months ago | past
8.
Comparing xeus-Haskell and ihaskell kernels (datahaskell.org)
13 points by mchav 4 months ago | past | 8 comments
9.
Welcome to DataHaskell (datahaskell.org)
6 points by mchav 5 months ago | past | 2 comments

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