Fundamentals of Machine Learning - Welcome

This course covers a comprehensive range of topics in statistical machine learning, starting with an introduction to the teaching philosophy and fundamental terminologies. It progresses through basic tools, bias-variance tradeoff, and advanced methods like tree-based models, support vector machines, and deep learning. The course concludes with unsupervised learning and classification metrics, providing a thorough understanding of statistical learning concepts.

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