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  1. Blog
  2. Article

Canonical
on 26 July 2018


AI and ML adoption in the enterprise is exploding from Silicon Valley to Wall Street. Ubuntu is the premier platform for these ambitions — from developer workstations, to racks, to clouds and to the edge with smart connected IoT. One of the joys that come with new developer trends are a plethora of new technologies and terminologies to understand.

In this webinar, join Canonical’s Kubernetes Product Manager Carmine Rimi for:

  • An introduction to some of the key concepts in Machine Learning
  • A look into some examples of how AI applications and their development are reshaping company’s IT
  • A deep dive into how enterprises are applying devops practices to their ML infrastructure and workflows
  • An introduction to Canonical AI / ML portfolio from Ubuntu to the Canonical Distribution of Kubernetes and and how to get started quickly with your project

And in addition, we’ll be answering some of these questions:

  • What do Kubeflow, Tensorflow, Jupyter, and GPGPUs do?
  • What’s the difference between AI, ML and DL?
  • What is an AI model? How do you train it? How do you develop / improve it? How do you execute it?

And finally, we’ll be taking the time to answer your questions in a Q&A session

Register for webinar

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