Evolutionary Machine Learning is a subfield of artificial intelligence that combines principles from evolutionary algorithms and machine learning. It aims to create intelligent systems by mimicking the process of natural evolution. In Evolutionary Machine Learning, a population of candidate solutions is evolved over multiple generations through processes such as selection, crossover, and mutation. This iterative process allows the system to adapt and improve its performance over time. By leveraging the power of evolution, Evolutionary Machine Learning can solve complex optimization and learning problems, making it suitable for various applications in areas such as data mining, robotics, and optimization.