What Is Machine Learning: How It Actually Works
Machine learning explained clearly: supervised vs unsupervised vs reinforcement learning, how models train, real applications, and honest limitations.
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Northcutt, Jiang & Chuang (2021) appeared at NeurIPS 2021, not JAIR
BeforeA 2021 benchmark study by Northcutt, Jiang, and Chuang (published in the Journal of Artificial Intelligence Research) found that popular benchmark datasets used to evaluate machine learning models contained error rates of 3.4% in test labels on average.
AfterA 2021 benchmark study by Northcutt, Jiang, and Chuang (published in the proceedings of NeurIPS 2021 (Datasets and Benchmarks Track)) found that popular benchmark datasets used to evaluate machine learning models contained error rates of 3.4% in test labels on average.
Why: Verified fix is fully applied: body text and bibliography entry ('Northcutt, C., Jiang, L., & Chuang, I. (2021). Pervasive Label Errors... NeurIPS 2021. arXiv:2103.14749.') both correctly cite NeurIPS 2021. FAQ field decoded cleanly (ops: base64,json,base64,json, 5 entries) and contains no mention of Northcutt or this study at all. No further changes needed.
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