Optimization Events refer to the process of improving the performance or efficiency of a machine learning model or algorithm. This can be done through various techniques, such as adjusting the model’s parameters, selecting different data sets to train the model on, or using different optimization algorithms to find the optimal solution. In the context of Artificial Intelligence (AI), Optimization Events play a critical role in ensuring that machine learning models are able to accurately predict outcomes and make decisions based on the data they are given.
