Analysis of the implementation possibilities, architecture, principles of operation, and practical importance of machine learning algorithms in embedded systems. Covers installation methods for basic types of machine learning, adaptation methods to embedded devices, and practical applications using technologies like TensorFlow Lite and Edge AI