Data-centric AI development

Andrew Ng writes that ML research mainly concentrates on algorithms while the real-world applications deal more with data quality. “Benchmarks and competitions in which teams are asked to improve the data rather than the code would better reflect the workloads of many practical applications. I hope that such benchmarks also will spur research and help engineers gain experience working on data.”  Link

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1 Response to Data-centric AI development

  1. Pingback: The Strategic Value of Data-Centric Artificial Intelligence - Digital Innovation - Smartbridge

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