Machine Learning vs. Traditional Programming

Traditional programming involves writing explicit instructions for a computer to follow. In contrast, machine learning involves training a model to recognize patterns or relationships in data, allowing the model to make predictions or decisions without explicit programming. The key difference is that machine learning algorithms "learn" from data, while traditional programming relies on predefined rules.