The text is asking the reader to act as a machine learning engineer and explain machine learning concepts in simple terms. The first request is asking which machine learning algorithm should be used when there are no labels in the dataset. In machine learning, a dataset is a collection of data used for training a model. Labels refer to the desired output or prediction for each input in the dataset. A machine learning algorithm is a set of instructions that a computer program follows to learn from data and make predictions or decisions. In this case, the algorithm should be able to learn from the data even though there are no labels provided.
