Coefficient
Coefficient is a data consultancy offering data science, engineering, machine learning and other AI-related services as well as bespoke training courses.
2๏ธโฃ Are they effectively using techniques like cohorting, backtesting to simulate past futures, and aligning eval metrics to downstream company KPIs?
3๏ธโฃ Would it help to workshop it together? Check out coefficient.ai and we can book in a session, this is exactly what we do at Coefficient!
31.03.2025 11:59 โ ๐ 0 ๐ 0 ๐ฌ 0 ๐ 0
Coefficient
Coefficient is a data consultancy offering data science, engineering, machine learning and other AI-related services as well as bespoke training courses.
Some questions to ask your data team:
1๏ธโฃ Are they using the right eval metrics as their "north star"? The wrong model evaluation metric can quietly sabotage your ML team's impact. Choosing between MAE, F1, RMSE and others isn't academic, it's business critical.
31.03.2025 11:59 โ ๐ 0 ๐ 0 ๐ฌ 1 ๐ 0
PyData London - 95th Meetup, Tue, Apr 1, 2025, 7:00 PM | Meetup
## Details
**Venue**: Riverbank House, 2 Swan Ln, London EC4R 3AD
**Please note**:
1. ๐จ๐จ๐จA valid photo ID is required by building security. ๐จ๐จ๐จ
2. This event follo
The model is trained, eval metrics are great, nothing changes โ the KPIs are static, business impact isnโt there, did you optimise for the wrong thing?
I'm speaking at @pydatalondon.bsky.social meetup tomorrow on "Death by RMSE: Cautionary Tales of Metrics Gone Wild"
www.meetup.com/pydata-londo...
31.03.2025 11:59 โ ๐ 2 ๐ 1 ๐ฌ 1 ๐ 1
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A Python podcast covering recent developer headlines. Hosted by @mkennedy.codes and @brianokken.bsky.social. Listen to all the episodes and subscribe at https://pythonbytes.fm/
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Product data scientist in fintech. Mostly lurking while I try to find my voice again. I help run PyData London.
Data Scientist and recovering high-energy astrophysicist. I also enjoy running, if somewhat slowly. All views are my own.
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skrub is a Python library to ease preprocessing and feature engineering for tabular machine learning.
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