Web: https://www.reddit.com/r/MachineLearning/comments/xszo17/d_things_to_do_for_effective_ml_teamwork_at_an/

Oct. 1, 2022, 4:28 p.m. | /u/coinfelix

Machine Learning reddit.com

I was reading this [blog](https://erogol.com/2022/10/01/todos-for-effective-ml-team-work-at-an-early-stage-startup) on "Effective ML Teamwork at an Early Stage Startup". More there is in the post but in short, it says, quoting from the post

* Don't create APIs for ML, just copy&paste.
* Test every line.
* If you aren't sure about the design, test first.
* Always keep your experiments reproducible (lineage, data, code, baseline).
* Document everything. Be clear, and avoid abbreviations.

Reading the post, especially the parts about APIs, doesn't make sense …

machinelearning stage startup teamwork


@ METRO/MAKRO | Nanterre, France

Data Analyst

@ Netcentric | Barcelona, Spain

Power BI Developer

@ Lendi Group | Sydney, Australia

Staff Data Scientist - Merchant Services (Remote, North America)

@ Shopify | Dallas, TX, United States

Machine Learning / Data Engineer

@ WATI | Vietnam - Remote

F/H Data Manager

@ Bosch Group | Saint-Ouen-sur-Seine, France

[Fixed-term contract until July 2023] Data Quality Controller - Space Industry Luxembourg (m/f/o)

@ LuxSpace Sarl | Betzdorf, Luxembourg

Senior Data Engineer (Azure DataBricks/datalake)

@ SpectraMedix | East Windsor, NJ, United States

Abschlussarbeit im Bereich Data Analytics (w/m/div.)

@ Bosch Group | Rülzheim, Germany

Data Engineer - Marketing

@ Publicis Groupe | London, United Kingdom

Data Engineer (Consulting division)

@ Starschema | Budapest, Hungary

Team Leader, Master Data Management - Support CN, HK & TW

@ Publicis Groupe | Kuala Lumpur, Malaysia