Introduction to Machine Learning Operations | MLOPs

preview_player
Показать описание
Machine learning(ML) is a branch of artificial intelligence that focuses on developing algorithms that can learn using data. While ML gets a lot of attention, implementing ML models (their deployment and maintenance) requires much more than programming skills.

Introducing MLOps, the short term for machine learning operations. MLOps represents a set of practices that simplify workflow processes and automate machine learning and deep learning deployments. For example, in the case of a smart city, a good use case is a model that automatically sends alerts when there are accidents. It constantly retrains based on new traffic data and behaves differently during bank holidays or seasons.

MLOp accomplishes the deployment and maintenance of models reliably and efficiently for production, at a large scale. In other words, MLOps enables you to ship models faster, ensuring portability and reproducibility. Navigating the landscape of MLOps solutions can be daunting. There is no one size fits.

If you want to understand current MLOps trends, watch this video to find out how to choose the right solution and learn about Charmed Kubeflow. During the video, you will learn from Canonical’s AI experts, Maciej Mazur, Principal AI/ML Engineer, and Andreea Munteanu, MLOps Product Manager, based on real customer questions and requests collected by Adrian Matei, Sales Representative.

Key moments:

01:22 Introduction

03:02 What is the business value?

07:12 MLOps architecture overview

14:37 Demo: Charmed Kubeflow

Learn more:

---

And follow our other social accounts:

LinkedIn:
Twitter:
Facebook:
Instagram:

#machinelearning #ubuntu #mlops #canonical #opensource
Рекомендации по теме
Комментарии
Автор

Greetings, why don't you promote Ubuntu more through shirts or t-shirts (here in Chile they are called that), stickers, glasses, etc? I am very sure that many Ubuntu users in the world would like to have them.

hectormoreau
Автор

Lops is a name for goat or animal. I really support Ubuntu, since 2012, when it was most effective workstation.. the thing I did not get was weak optionality around games..

SkateTube
Автор

Hahahahah parece que tem dois robôs conversando. Mas ainda o conteúdo é útil.

senhorceifador
Автор

Latvians don't divide words that much nor do spell by letter. All these programmers came from AI, which is unable to understand real life issues. So far nothing beats human intelegence.

SkateTube