Introduction to Machine Learning and AI
Friday, June 27, 2025
11:00 am - 12:00 pm
This session will cover the basics around what Machine Learning is, look at the different ML techniques and methods, examine what a typical ML project lifecycle looks like, and discuss some of the most commonly used example algorithms.
This session will also include a 20-minute rapid mini-workshop via Jupyter Notebook where we'll use an example dataset from Kaggle and take it through the steps of training and evaluating a model to make predictions using ML. Specifically the use case will cover using quantitative data to predict benign and malignant tumors, based on a large dataset.
- Location
- ONLINE,
- Sponsor
- Division of Research