For this workshop, we are using the coding language python, one of the most common ML coding laguagues.
You are able to run the code for yourself since we're using colab notebooks which are kinda like Google Docs of Python (based on the open source library of jupyter - formerly iPython notebooks (notice how this file type is ipynb? now you know!)).
We won't go into the details, but essentially colab makes it really easy to run and share our code in our browsers without needing to code in terminal or using a text editor, which you might use when making a website or coding with html/css and javascript.
Here's what we will cover today:
Université de Sherbrooke
Prof.
Dr. Nadia Tahiri is an Assistant Professor in Computer Science at the University of Sherbrooke. Her research interests are in the field of bioinformatics, phylogenetic trees, clustering, biodiversity, and also in the application of Machine Learning in public health. Nadia obtained her doctorate in computer science from the University of Quebec in Montreal in 2018. She is the recipient of several …
