It always starts with the data. If your data isn't good, the model won't be good. This core idea emphasizes the critical importance of quality data in developing effective AI models.
There's not one ML or deep learning model to solve all use cases. Compare your status quo with what you need to improve.
Consider first the conforming data and datasets the business already has or can use. It's essential to ensure that the data does not contain any private personal information.
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