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1
Introduction
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Agenda
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The Problem
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Labelers
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Results
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Key Idea
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The Results
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Theory
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Formulation
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Confident Learning Methods
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DataCentric AI
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Use Cases
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Cleanlab Studio
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Demo
Description:
Learn about Cleanlab's innovative AI-powered tools for correcting errors in datasets during this 25-minute conference talk by Curtis Northcutt, CEO and co-founder of Cleanlab, at the 2022 Future of Data-Centric AI conference. Explore the problem of data quality in AI model training, understand the key ideas behind Cleanlab's approach, and discover the theory and formulation of Confident Learning methods. Gain insights into data-centric AI practices and various use cases for data cleansing. Watch a demonstration of Cleanlab Studio and understand how it can be applied to improve the quality of datasets across different domains.

How Cleanlab Uses AI to Correct Errors in Any Dataset

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