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Data Bytes - A Hands-On Tutorial on Using Google Colab for Machine Learning

Tremendous increase in the computational power has enabled a phenomenal growth in the use of machine learning models over the past decade or so. Jupyter notebooks offer a convenient interactive computing environment for data, code, and text. Despite its popularity, installation of Jupyter environment, in a classroom setting, can be challenging due to the use of personal computers with different operating systems. Google Colab, a web-based computing environment, offers a convenient platform-independent solution for rapid prototyping of Python codes. In this hands-on tutorial, I will demonstrate basic features of Google Colab and show how it can be used for teaching and research.

Explore other upcoming Data Bytes sessions in the Library calendar.

Date:
Wednesday, October 15, 2025
Time:
3:00 PM - 4:30 PM
Location:
Digital Scholarship Center, Collaborative Scholarship Lab, Lower Level
Categories:
Instruction, Public Program

Registration is required. There are 28 seats available.





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