Model evaluation involves assessing the performance of a machine learning model using various metrics and methods. This process helps determine how well the model performs on test data and guides improvements for better accuracy and reliability.
The time required to deploy an AI system depends on various factors, such as the complexity of the system, the…
Training an AI model for your specific business needs involves several steps, including data collection, preprocessing, model selection, training, and…