This course provides an introduction to machine learning that enables computers to learn AI models from data without being explicitly programmed. Rather than presenting the key concepts and components of machine learning in an abstract way, this course introduces them with a small number of examples. By using plotting and animations, insight into some of the mechanics of machine learning can be had. By the end of this course, the student will have an initial understanding and experience with some of the fundamentals of machine learning enabling subsequent exploration.
Prerequisites:
- Basic Python knowledge and experience.
- Using Alliance compute clusters.
- Knowledge and experience with Tensorflow and Scikit-learn would also be helpful.
- Teacher: Weiguang Guan
Access is restricted to Digital Research Alliance of Canada (formerly Compute Canada) authenticated users only: Yes