Machine learning and Deep learning

Graduate practial course about machine learning and deep learning. Basic machine learning practice (cross-validation, hyperparameter testing, etc.), SVM, random forests, classification, regression. Preliminary deep learning practice (CNN, ResNet, over/under-fitting, evaluation metrics).

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