Pronod Bharatiyadata-intelligence.hashnode.dev·Sep 21, 2024Set Up a Working Directory in a Containerized MicroK8s Environment with Canonical Data Science Stack and GitHub IntegrationIn this article, we will walk through the detailed process of setting up a working directory inside a a PyTorch container running on MicroK8s, a lightweight Kubernetes distribution, using the Canonical Data Science Stack. You have the choice to use t...6 likes·30 readsLinux and Machine Learningmicrok8s
Pronod Bharatiyadata-intelligence.hashnode.dev·Sep 18, 2024Optimize Your AI Workflow: Leveraging Data Science Stack, MicroK8s, MLflow, and JupyterHub for Effective ML EnvironmentAs the world of data science and machine learning (ML) continues to evolve, the demand for efficient, reproducible, and easily manageable ML environments has never been greater. Data scientists and ML engineers often face the challenge of setting up ...29 readsLinux and Machine LearningData Science Stack
Pronod Bharatiyadata-intelligence.hashnode.dev·Sep 18, 2024A Complete Guide to Canonical's Data Science Stack: JupyterHub, MicroK8s, MLflow, and KubeflowIn an era where data drives decision-making, the ability to harness and analyze data efficiently is paramount. Canonical, the company behind Ubuntu, has recognized this necessity and developed the Data Science Stack (DSS). This comprehensive framewor...46 readsLinux and Machine LearningData Science
Pronod Bharatiyadata-intelligence.hashnode.dev·Sep 13, 2024Setting Up a Complete Machine Learning Pipeline on a Linux Tablet: A Guide to the Data Science StackIntroduction In the world of data science and machine learning (ML), the tools and environments you work with are just as critical as the algorithms and data themselves. For those starting out in ML, managing the development environment can be overwh...55 readsLinux and Machine LearningData Science Stack
