This unit explored supervised machine learning. In particular, you covered deep learning neural networks and how, with enough good data, it can be applied to natural language processing $($NLP$)$ and image analysis tasks.

Based on the AI capabilities you have covered in this unit, think about an aspect of your life in which these technologies are being used. For the purposes of this class$-$wide discussion forum, your example does not necessarily need to be present in the health care industry. Apply the steps that ensure successful supervised learning, as described by Professor Barzilay in this unit$$s casebook, to your chosen example:

Step $1$: Be certain there is a pattern in the data.

Step $2$: Decide which features to use.

Step $3$: Collect annotated data.

Step $4$: Evaluate your model.

Considering your example and the steps outlined above, answer the following questions and share your thoughts with your fellow participants:

Which pattern in the data is being used to make predictions?

What features of the data are likely to be used?

How could annotated data have been collected?

How can the model be evaluated to test its accuracy?