Machine learning methods play an important role in creating algorithms for data analysis in the mining industry. These methods allow you to train the system based on historical data and identify hidden patterns that may not be obvious in traditional analysis. Machine learning algorithms can be used to predict breakdowns, optimize production processes and identify anomalies in the operation of machinery. For example, with the help of training on data on the operation of equipment, you can create a model that will predict the probability of failure of a certain part under specified operating conditions.