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Colab is a hosted Jupyter Notebook service that requires no setup to use and provides free access to computing resources, including GPUs and TPUs. Colab is especially well suited to machine learning, data science, and education.
Colab notebooks allow you to combine executable code and rich text in a single document, along with images, HTML, LaTeX and more. When you create your own Colab notebooks, they are stored in...
The goal of this Colab notebook is to highlight some benefits of using Google BigQuery and Colab together to perform some common data science tasks. Online prediction with BigQuery ML
In Part 1, I explained why Colab is great for teaching Python programming. In this article we’ll get into the details — I’ll show you some specific examples of how Colab can enhance your Python teaching toolkit.
In order to provide access to as many students and under-resourced groups around the world as possible, Colab prioritizes users who are actively programming in a notebook. Colab also restricts...
With Colab you can import an image dataset, train an image classifier on it, and evaluate the model, all in just a few lines of code. Colab notebooks execute code on Google's cloud servers,...
