Machine learning development involves creating algorithms that are capable of learning and improving from data. On the other hand, traditional software development relies on explicit programming instructions. Machine learning models adapt and make predictions based on patterns in data. It requires extensive data preprocessing, model training, and iterative testing. This makes it more data-driven and less rule-based than traditional software development