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Machine Learning


Charmed Kubeflow 1.7 Beta is here. Try it now!

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 evolving over the years. With Charmed Kubeflow 1.7, users benefit from the ability to run serverless workloads and perform model inference regardless of the machine learning framework they use.

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Machine-Learning Automation: Processing, Storing, & Analyzing Data in the Digital Age

The world of software is growing more complex, and simultaneously changing faster than ever before. The simple monolithic applications of recent memory are being replaced by horizontal cloud-native applications. It is no surprise that such applications are more complex and can break into infinitely more ways (and ever new ways). They also generate a lot more data to keep track of. The pressure to move fast means software release cycles have shrunk drastically from months to hours, with constant change being the new normal.


TensorFlow Inference of Visual Images, Orchestrated by Cloudify, with Intel Optimizations

The following blog was written together with Petar Torre, Solutions Architect at Intel. This blog describes how Cloudify automates the deployment and monitoring of Machine Learning systems, by orchestrating an Intel-optimized TensorFlow workload running inference with a pre-trained ResNet-50 model from the Intel Model Zoo. In a nutshell, a container running a Jupyter Notebook with the Intel optimized TensorFlow model is scheduled as a Kubernetes pod on K3S on AWS EC2.


Unlocking the Potential of Machine Learning on the Cloud

Nowadays, when most people think about the term “machine learning,” they think of advanced, refined applications such as Chat-GPT, the chatbot-based deep learning text generator, or AlphaGo, the computer program that’s currently the “world's best player” of the board game Go.


What is the difference between unsupervised and supervised learning in machine learning?

Machine learning affects nearly every aspect of our daily lives. To understand how this technology works and how you can use machine learning, it’s necessary to know the difference between unsupervised and supervised machine learning. The following are essential points regarding the different aspects of unsupervised and supervised machine learning.

The Ultimate Guide: Learn The Most Important Things About The Artificial Intelligence Market

Artificial Intelligence (AI) is transforming businesses' operations and providing incredible growth opportunities. From automated customer service to predictive analytics, AI is becoming an essential tool for businesses of all sizes across a wide range of industries. But with so much hype around AI, it can take time to figure out where to start when it comes to understanding the market's current state and what may lie ahead. Here is everything you need to know about the Artificial Intelligence market, from current trends and predictions to critical players and areas of improvement.