Machine Learning, Data Science, Data Modeling.
must check our metrics after each change. Only by checking the metrics frequently, we ensure that we are continuously improving the model. 6. Optimize the model After we have the optimal architecture and hyperparameters, we are not done. We can still optimize model performance. For example, we can