We have a new website at Hopsworks . Great work by MagicLex - hopsworks.ai

First in-person event since 2020 - MLops Meetup London. Thanks to Seldon for having us! Hopsworks

🔥 Event season is upon us and next week we will be talking at PyData London! Come join us for our talk on the role of the Feature Store for machine learning in enabling Python native access to enterprise data as well as in the networking happy hour with food and drinks on us!

Make sure to come by and talk with us about Enterprise Feature Stores and have a Hopsworks beer with us! #mlops #featurestore #pydata PyData Hopsworks

That means beers are on us! Make sure to get tickets if you don’t have them already! #mlops #pydata PyData Hopsworks

Now that travelling for work is starting to pick up again - would you consider it a benefit if your employer pays for CO2 compensation of work related travel?

I want incognito mode for algorithms SpotifyDE Instagram netflix⁷ and co!

End-to-end ML pipelines that go from raw data to trained models neither promote feature reuse nor maintainable code. Break the monolith. Decompose your end-to-end ML pipelines into feature pipelines, training pipelines, and inference pipelines. A🧵

It has never been easier to get started with Hopsworks and a fully fledged feature store! Hopsworks #mlops #machinelearning #datascience #DataEngineering

The first full lecture for my serverless-ml.org course is out today. Learn how to turn your models into serverless ML systems that run on free platforms, like Github and Hopsworks . It's a free course and going to open up a new world of serverless machine learning.

A free conference on Feature Engineering from Hopsworks! You'll hear from people who have seen the good, bad and ugly side of the feature stores and learn from their experiences. Join for free here: featurestoresummit.com/register-2022

Some exciting upcoming MLOps technologies * ZenML is bringing a framework that is integrating many well-known ML tools * Hopsworks has brought a very interesting serverless infrastructure for MLOps * @Diffgram is an OSS Training Data Platform (Annotation,Catalog/Workflow)

If you want to register, this is your last opportunity! 🔥bit.ly/featurestoresu…

second workshop of the day that involves Hugging Face Spaces & Gradio, delivered by Jim Dowling 🤩 check out his free course on serverless ML here 👉🏼 serverless-ml.org

Wanna learn MLOps? Stop reading blog posts. Build a prediction service instead 🚀 Here is a project you can build (for free) 👩🏽‍💻👨‍💻↓↓↓

Wanna build this system? Then you need a serverless Feature Store, like Hopsworks → It is 100% Python 🐍 → Great tutorials and documentation 📚 → 10GB of free storage, so you build this project for free 😎 Click on this link to register for FREE ↓ app.hopsworks.ai/?utm_source=tw…

Are you attending PyData Global? Check Moritz Meister 🇪🇺's talk on 'Data Validation for Feature pipelines: Using Great Expectations and #Hopsworks We'll discuss different #Python DV libraries and explore GE concepts for feature pipelines and feature stores bit.ly/3Upq0E1

Finally I can explain my job to other people.

AdventOfCode just became a whole lot easier... Eric Wastl I think you need to build in some safe guards :) Not posting the whole code, but it took me three iterations to get a working version from ChatGPT, starting with the unmodified text of the puzzle.

Is it a feature...? 🤔