Modeling and Learning in Data Science
Fall 2023 @ Illinois
Welcome to the webzone for the Fall 2023 semester of CS 307, Modeling and Learning in Data Science, at the University of Illinois Urbana-Champaign. CS 307 is an undergraduate machine learning course that is appropriate for students pursing any of the X + DS programs at Illinois.
After this course, students are expected to be able to:
- Identify supervised (regression and classification) and unsupervised (clustering) learning problems.
- Understand the bias-variance tradeoff and its relationship to model complexity and overfitting.
- Validate and select machine learning models and their parameters using techniques such as cross-validation.
- Prepare and process data for use with machine learning methods.
- Formulate practical, real-world problems as machine learning problems.
- Evaluate effectiveness of machine learning methods when used as a tool for data analysis or as a component of a system.
- Implement simple machine learning methods from scratch using Python’s
numpy
. - Apply machine learning methods using frameworks such as Python’s
scikit-learn
andpytorch
.
Welcome! We hope you enjoy the course!