Machine Learning Check-in

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Meil *

Name *

How does machine learning differ from traditional algorithms *

What is the correct order for steps in ML *

Data collection; train and compare models; data preprocesing; evaluation and troubleshooting; applications

Application; data collection; data preprocessing; evaluation and troubleshooting; train and compare models

Data collection; data preprocessing; train and compare models; evaluation and troubleshooting; application

If you are trying to distinguish between cats and dogs, what is the problem with having a dataset with all black cats and all white dogs *

What are recurrent neural networks typically used for? *

When developing the model, what is the training data used for? *

What is underfitting and how can you prevent it? *

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