DZone

When training a machine learning model, you need high-quality training data. The most crucial stage in AI development is acquiring the training data and how to use this data while training the models. Any kind of mistake while training your model will not only make your model a failure but can be disastrous if used in making crucial decisions.

While training the AI model, multi-stage activities are performed to utilize the training data in the best manner, so that outcomes are satisfying. So, here you need to understand what mistakes need to be avoided to make sure your AI model is successful.  

Source: DZone