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Hilary Mason: Deterministic vs. Probabilistic, and How AI is Changing Storytelling
Generative Now | AI Builders on Creating the Future
Generative vs traditional product development
Agile is not suitable for data science work because it is focused on deterministic software construction, while data science requires a research-driven approach. In machine learning, the process involves identifying and reframing problems multiple times to meet the product needs. Unlike software engineering, data science requires questioning assumptions and ensuring the feasibility of building models with the available data.
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