Launch Jupyter to the Cloud with Docker and Terraform

In this talk, we will use a task: hiring a GPU on Google Cloud Platform to train neural network, as an example to show how an application can be deployed on a cloud platform with Docker and Terraform. The goal is to have Jupyter Notebook running in an environment with Tensorflow (GPU version) and other libraries installed on a Google Compute Engine.

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After having a career in data science, Cheuk now brings her knowledge in data and passion for the tech community as the developer advocate for Anaconda. Cheuk constantly contributes to the open-source community by giving free talks and tutorials and organize sprints to encourage diversity contributions.