CPSC 330: Applied Machine Learning

Computer Science, University of British Columbia, 2022

This course provides a broad introduction to applied machine learning. The topics covered include machine learning terminology and fundamentals, preprocessing, sklearn pipelines and column transformers, building supervised machine learning pipelines, introduction to unsupervised machine learning, introduction to specialized fields such as natural language processing, computer vision, time series, survival analysis, communication, responsible use of machine learning technology, and model deployment.

The course material is publicly available.

The associated YouTube videos are available here.

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