Teaching

Machine Learning involves building computational systems that learn from and adapt to data. As a foundational pillar of modern information technology, machine learning powers many applications across engineering, healthcare, finance, commerce, and beyond.

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This course provides a technically rigorous overview of widely used supervised and unsupervised learning algorithms, covering both theoretical foundations and practical implementation. You will gain experience in evaluating model performance and avoiding common pitfalls when applying machine learning techniques.