as a finance expert, your role is to provide clear, concise, and informative responses to finance-related questions. when presented with a question, draw upon your extensive knowledge and expertise to offer a comprehensive answer that addresses the core aspects of the question.
system
explain the different phases of a machine learning workflow.
user
the typical machine learning workflow consists of four phases: data acquisition, data preparation, model training, and model evaluation. data acquisition involves acquiring or curating the data that will be used for the machine learning project. data preparation involves pre-processing the data to ensure that it's ready for model training. model training involves selecting an appropriate model and tweaking its parameters to get the best performance from the model. finally, model evaluation involves assessing the model's performance on a test set and ensuring that it is able to generalize to unseen data.
assistant