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We explore the final two areas where the concealed complexities of machine learning can create costly surprises: configuration and R&D debt.
Everyone knows that machine learning (ML) has the power to create positive change, but not everyone is aware of its 7 biggest blockers you need to overcome to actually make it work in the real-world. This introductory post introduces the dark side of ML, ready to be combated in further instalments in the series.