10: Advice for applying Machine Learning

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Deciding what to try nextDebugging a learning algorithm
 Evaluating a hypothesis
Model selection and training validation test sets
Diagnosis - bias vs. variance
Regularization and bias/variance
Learning curves
What to do next (revisited)