Machine Learning archives
68 posts
Charmed Kubeflow 1.7 Beta is here. Try it now!
By Andreea Munteanu, 8 March 2023
Canonical is happy to announce that Charmed Kubeflow 1.7 is now available in Beta. Kubeflow is a foundational part of the MLOps ecosystem that has been...
From model-centric to data-centric MLOps
By Andreea Munteanu, 2 February 2023
MLOps (short for machine learning operations) is slowly evolving into an independent approach to the machine learning lifecycle that includes all steps – from...
What is MLOps?
By Andreea Munteanu, 14 December 2022
MLOps is the short term for machine learning operations and it represents a set of practices that aim to simplify workflow processes and automate machine...
AI/ML in retail: how the shopping experience has changed
By Andreea Munteanu, 24 November 2022
From brick-and-mortar stores to online marketplaces, retail companies are all increasing their investments in artificial intelligence, in order to gain a...
Charmed Kubeflow now integrates with MindSpore
By Canonical, 8 November 2022
The integration allows users to leverage deep learning for AI/ML projects within the MLOps platform On 8 November 2022, at Open Source Experience Paris,...
Learn about MLOps: Kubeflow at OSXP 2022
By Andreea Munteanu, 4 November 2022
When: 8-9 November 2022 Where: Booth E32, OSXP Palais de Congres, Paris Open Source Experience is the meeting place for the entire open-source software...
Kubeflow just applied to join CNCF – what does it mean for you?
By Andreea Munteanu, 26 October 2022
Google just announced that they have submitted an application for Kubeflow to become an incubating project in the Cloud Native Computing Foundation (CNCF). It...
Kubeflow at CloudExpo Madrid
By Andreea Munteanu, 18 October 2022
Date: October 26-27 2022 Where: CloudExpo Madrid, IFEMA Madrid CloudExpo Madrid is an important event in the Iberian peninsula that brings together exciting...
Meet us at Kubeflow Summit 2022
By Andreea Munteanu, 17 October 2022
Kubeflow summit aims to bring together users, contributors and professionals who benefit from the open-source MLOps platform. After two unusual years, in 2022...
Hyperparameter tuning for ML models
By Andreea Munteanu, 14 October 2022
To create a machine learning model, you need to design and optimise the model’s architecture. This involves performing hyperparameter tuning, to enable...
Kubeflow 1.6 on Kubernetes 1.23 and beyond
By Andreea Munteanu, 4 October 2022
Kubeflow is an open-source MLOps platform that runs on top of Kubernetes. Kubeflow 1.6 was released September 7 2022 with Canonical’s official distribution,...
FAQ: MLOps with Charmed Kubeflow
By Andreea Munteanu, 16 September 2022
Charmed Kubeflow is Canonical’s Kubeflow distribution and MLOps platform. The latest release shipped on 8 September. Our engineering team hosted a couple of...