Course Description
This course aims to introduce participants to essential machine learning methods and techniques through an end-to-end machine learning project. The emphasis is placed on practical experience with machine learning using Python programming language, scikit-learn and TensorFlow, as well as on understanding classification and training models. The course will provide an introduction to artificial Neural Networks, deep learning, convolutional and recurrent neural nets and reinforcement learning.
Prerequisites
Corequisites
Schedule
| This Course was not Offered During Winter 2025 Term |
| This Course was not Offered During Spring/Summer 2025 Term |
| The tentative timetable is not yet available for the Fall 2025 Term |
| The tentative timetable is not yet available for the Winter 2026 Term |
