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"A while back, I made a toxic language classifier. However, I was unsatisfied with the training data. I split the text by sentences while retaining the original label, hoping I'd be able to quickly clean-up, but that didn't work well. I took the sentence-labeled training data and threw it at …
"I used an open-sourced library, cleanlab, to remove low-quality labels on an image dataset. The [ResNet] model trained on the dataset without low-quality data gained 4 percentage points of accuracy compared to the baseline model (trained on all data)."
Snorkel AI started as a research project in the Stanford AI Lab in 2016, where they set out to explore a higher-level interface to machine learning through programmatically labeled and …
BiG EVAL is the leading data quality suite for all technical systems in which data is transported and transformed. BiG EVAL utilizes plausibility and validation mechanisms to adopt proactive quality …
Return Path analyzes the world’s largest collection of email data to show businesses how to stay connected to their audiences, strengthen their customer engagement, and protect their brands from fraud. …
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