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Introducing Data Science Stack: set up an ML environment with 3 commands on Ubuntu 

Introducing Data Science Stack: set up an ML environment with 3 commands on Ubuntu 

Canonical, the publisher of Ubuntu, today announced the general availability of Data Science Stack (DSS), an out-of-the-box solution for data science that enables ML environments on your AI workstation. It is fully open source, free to use and native to Ubuntu.  It is also accessible on other Linux distributions, on Windows using Windows Subsystem Linux (WSL), and on macOS with Multipass. DSS is a command line interface-based tool that bundles Jupyter Notebooks, MLflow and frameworks like PyTtorch and TensorFflow on top of an orchestration later. Canonical provides security maintenance for all of the packages included in the solution, ensuring timely vulnerability patching and protection of both the software and created artefacts.

Your ML environment in just three commands

AI adoption is widespread, but so are the challenges in successfully implementing it. Consider the following statistics from Deloitte

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