# Maths, stats, insights and limitations

**URL:** <https://forum.numer.ai/t/maths-stats-insights-and-limitations/4160>\
**Category:** Data Science\
**Created:** [September 19, 2021, 2:38pm UTC](https://forum.numer.ai/t/maths-stats-insights-and-limitations/4160 "2021-09-19T14:38:56Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![neomatrix369](https://avatars.discourse-cdn.com/v4/letter/n/7bcc69/32.png) [@neomatrix369](https://forum.numer.ai/u/neomatrix369)\
**Post date:** [September 19, 2021, 2:38pm UTC](https://forum.numer.ai/t/maths-stats-insights-and-limitations/4160/1 "2021-09-19T14:38:56Z")

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I have been working on two of these notebooks, on and off and also discussing it with others in the DS/ML community, here are my thoughts:

- [Normalising a distribution](https://www.kaggle.com/neomatrix369/normalising-a-distribution)
- [Studying the limitations of stats measurements](https://www.kaggle.com/neomatrix369/studying-the-limitations-of-stats-measurements)

It’s early days but I hope you like them and can be part of these discussions. Any constructive feedback or comments will be highly appreciated.