Understanding Machine Learning
Traditional programming involves explicit commands, while machine learning shifts the focus to models that learn from data. The training process is iterative, relying on examples to adjust parameters through error correction algorithms. This approach emphasizes that computers excel at repetitive tasks, refining their predictions based on the differences between their outputs and the known ground truth.In this clip
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Practical AI
Celebrating episode 50 and the neural net!
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