635: The Perils of Manually Labeling Data for Machine Learning Models
Super Data Science: ML & AI Podcast with Jon Krohn
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Weekly Supervised Learning and Weak Supervision in Machine Learning
The chapter delves into the concepts of weekly supervised learning and weak supervision in machine learning, discussing how labeling functions can be utilized to predict labels automatically. It explains the benefits of leveraging weekly supervised learning for generating data efficiently and cost-effectively for machine learning models. The conversation also touches on the challenges of manually labeling data, proposing probabilistic labeling as a solution to capture nuanced label distributions and overcome biases in human judgments.
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