Data Classifications Explained
Jonathan explains how the complexity of classifying data impacts the amount of training required for machine learning models. He emphasizes that while simple distinctions may need fewer examples, more nuanced classifications, like differentiating between a dog and a wolf, require significantly more data. Ultimately, he highlights the importance of off-the-shelf solutions for everyday business needs, suggesting that dedicated data science teams will tackle more complex challenges in the future.In this clip
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