The latest from Jonathan
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Data extraction from SEC filings (10-Ks) with Snorkel Flow
Leveraging Snorkel Flow to extract critical data from annual quarterly reports (10-Ks) Introduction It can surprise those who have never logged into EDGAR how much information is available in annual reports from public companies. You can find tactical details like the names of senior leadership, top shareholders, and more strategic information like earnings, risk factors, and the company strategy and vision. Warren…
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How to better govern ML models? Hint: auditable training data
ML models will always have some level of bias. Rather than relying on black-box algorithms, how can we make the entire AI development workflow more auditable? How do we build applications where bias can be easily detected and quickly managed? Today, most organizations focus their model governance efforts on investigating model performance and the bias within the predictions. Data science…
