Tech Fixx · Video
Machine Learning vs Traditional Programming: Key Differences
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From the video description
Traditional programming uses rules written by people to transform inputs into outputs. Machine learning instead uses examples and an optimisation process to learn a model that can make predictions on new data.
This beginner comparison covers: • Rules-based code versus data-driven models • Inputs, outputs, labels and training • When traditional programming is the better choice • When machine learning can help • Testing, maintenance, errors and explainability • A simple real-world example of each approach
Many useful systems combine both methods: conventional software handles clear rules while a trained model handles uncertain patterns.
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