How does machine learning differ from traditional algorithmic programming?

How does machine learning differ from traditional algorithmic programming?

Traditional algorithmic programming relies on explicitly defined rules and procedures written by programmers to solve problems, while machine learning focuses on creating models that learn from data and adapt to make predictions or decisions. Machine learning offers flexibility and the ability to handle complex patterns, while traditional algorithms provide predictable and well-defined solutions based on specific logic. The choice between the two approaches depends on the nature of the problem and the available data.