Simplify Your Data Science Workflow on Ubuntu with Canonical’s Data Science Stack

Data scientists often face complex challenges when setting up their development environments, from managing dependencies to ensuring GPU compatibility for high-performance workloads. Canonical’s Data Science Stack (DSS) removes these hurdles, providing a seamless, ready-to-use environment tailored for Ubuntu.

In this hands-on workshop, we’ll show you how DSS makes life easier for data scientists by streamlining installation and setup, ensuring out-of-the-box GPU support for both NVIDIA and Intel, and providing tools like Jupyter Notebook and MLflow for an enhanced development experience. You’ll discover how easy it is to focus on experimentation and modeling on your workstation.

Join us to see how DSS empowers data scientists to accelerate their workflows, harnessing the power of Ubuntu and cutting-edge AI/ML tools with minimal effort. .