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In this course, you will :
- Understand the definitions of simple error measures (e.g. MSE, accuracy, precision/recall)..
- Evaluate the performance of regressors / classifiers using the above measures..
- Understand the difference between training/testing performance, and generalizability..
- Understand techniques to avoid overfitting and achieve good generalization performance..
