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Overview
Syllabus
Assignments
Title (Replace it with your project title)
Outlines
Warming-up
Statistical Tests: How do they relate to machine learning?
Linear Models and Regularization: Under what circumstances do we prefer to sacrifice unbiasedness?
Neural Networks: How can you trust complex models that seem like black boxes?
Kernel Methods: Is dimensionality a curse or a blessing?
Ensemble Methods: Should the “ants” be the same?
Index
