:rocket: Build and manage real-life data science projects with ease!
As a result of their new DS framework (based on a Metaflow - a DS framework built at Netflix and AWS SageMaker Pipelines), they were able to free up their DS resources so that Software Developers were now trained and equipped to tackle their normal DS projects, at a ratio of 70% DS/ML work was now completed by developers. This leaves the 30% meatier and more difficult problems for the Data Scientists to tackle.
Simplest way to run large batch jobs in the cloud?
1 project | reddit.com/r/dataengineering | 19 Feb 2022
2 projects | news.ycombinator.com | 23 Jan 2022
Help on understanding mlops tools.
1 project | reddit.com/r/mlops | 6 Oct 2021
A few reasons why internal product management is awesome and not a downgrade
1 project | reddit.com/r/ProductManagement | 23 Aug 2021
[D] ML Devs: What are your biggest pain-points when it comes to your data pipeline (i.e. collection, storage, processing, standardizing, etc.)? How do you currently solve them?
2 projects | reddit.com/r/MachineLearning | 2 Sep 2021