Machine Learning in Music

Machine learning in music involves algorithms that analyze large collections of musical data to identify patterns and trends. These systems can learn from existing songs to compose new music, recommend tracks based on your preferences, or automatically classify genres and moods. By continuously improving through exposure to more data, machine learning enables personalized listening experiences and innovative music creation, blending human creativity with computational insights to advance the way music is produced, understood, and enjoyed.