machinelearning

32 posts in machinelearning

Maintaining ML Model Accuracy With Automated Drift Detection

DZone published a comprehensive tutorial on detecting and managing data drift in ML systems using KitOps, highlighting automated model retraining to ensure ML models stay accurate in production.

ai - 6 min read

10 Must-Know Open Source Platform Engineering Tools for AI/ML Workflows

Don’t let complex workflows choke your AI/ML projects. These 10 open source Platform Engineering tools are your ticket to faster, more innovative development.

ai - 8 min read

Why We Need Purpose-Built Platform Engineering Tools for AI/ML

Discover why AI/ML demands purpose-built platform engineering tools and how Jozu simplifies scalability, collaboration, and innovation.

KitOps - 10 min read

How to Turn Your OpenShift Pipelines Into an MLOps Pipeline

Build smarter MLOps pipelines. Combine KitOps and OpenShift Pipelines to automate deployment, reduce friction, and accelerate machine learning workflows.

ai - 8 min read

Jozu Hub vs. Docker Hub? Which One Works Best for AI/ML?

Jozu Hub vs. Docker Hub: Learn how Jozu Hub’s tailored features for AI/ML projects simplify versioning, GPU setup, and scalability for efficient workflows.

ai - 8 min read

Deploying AI Projects Through a Jenkins Pipeline

Deploy AI models the smart way with Jenkins pipelines. Step-by-step guide to integrate GitHub, KitOps, and Jozu Hub into your CI/CD workflow.