Identifying ML Problems
Before diving into data collection or model development, it's crucial to ensure there's a genuine commercial problem to address. Reflecting on personal or professional processes that could benefit from automation can lead to valuable insights. By consistently questioning whether something can be automated, ideas may arise in unexpected moments, paving the way for impactful machine learning solutions.In this clip
From this podcast
Super Data Science: ML & AI Podcast with Jon Krohn
SDS 578: Identifying Commercial ML Problems — with Jon Krohn
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