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For Companies That Use ML, Labeled Data Is the Key Differentiator


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Sylvain Kalache

Supervised learning is currently the most practical approach for most ML challenges.

Sylvain Kalache is an entrepreneur and software engineer who has worked in the tech industry for more than a decade.

AI is driving the paradigm shift that is the software industry's transition to data-centric programming from writing logical statements. The more training data a company gathers, the brighter will its AI-powered products burn.

But any company that is considering using machine learning (ML) cannot overlook one technical choice: supervised or unsupervised learning.

From TechCrunch
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