Deconstruct Learning: Model, Optimization, and Data

Machine learning algorithms can be effectively broken down into three fundamental components. The model defines how data and parameters interact to produce predictions, exemplified by neural networks or other types of models. The optimization algorithm pertains to the methods used for updating parameters or the network's state, though not all algorithms rely strictly on optimization. Lastly, the data set serves as the foundational element that drives the learning process.