davidrosenberg/mlcourse
Machine learning course materials.
This resource provides comprehensive materials for learning advanced machine learning and computational statistics. It covers topics like regularization techniques, support vector machines, and various boosting methods, offering detailed explanations, lecture notes, and practical problem sets. It's designed for graduate students or professionals looking to deepen their theoretical and practical understanding of machine learning algorithms.
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Use this if you are a student or practitioner with a solid foundation in mathematics and statistics, seeking to understand the inner workings and theoretical underpinnings of common machine learning algorithms.
Not ideal if you are looking for a beginner-friendly introduction to machine learning with a focus on immediate practical application and minimal mathematical depth.
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Nov 02, 2023
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