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  • All (2544) +222
    • AI (576) +17
    • DevOps (149) +1
    • Software (1083) +148
    • IT (730) +55
    • Education (6) +1
  • Notice
  • All (2544) +222
  • AI (576) +17
  • DevOps (149) +1
  • Software (1083) +148
  • IT (730) +55
  • Education (6) +1
  • Notice
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  • 22 hours ago · ai

    The End of the Train-Test Split

    Article URL: https://folio.benguzovsky.com/train-test Comments URL: https://news.ycombinator.com/item?id=46149740 Points: 7 Comments: 1...

    #train-test split #machine learning #model evaluation #cross-validation #data science
  • 2 days ago · ai

    Bias–Variance Tradeoff — Visually and Practically Explained (Part 6)

    What Bias Really Means Practical Definition Bias is how wrong your model is on average because it failed to learn the true pattern. High bias occurs when: - Th...

    #bias-variance tradeoff #overfitting #underfitting #machine learning #model evaluation #regularization #production ML
  • 2 days ago · ai

    Why Accuracy Lies — The Metrics That Actually Matter (Part 4)

    !Cover image for Why Accuracy Lies — The Metrics That Actually Matter Part 4https://media2.dev.to/dynamic/image/width=1000,height=420,fit=cover,gravity=auto,for...

    #accuracy #machine-learning-metrics #model-evaluation #production-ml #data-science
  • 2 days ago · ai

    Amazon’s bet that AI benchmarks don’t matter

    Rohit Prasad, Amazon's SVP of AGI. This is an excerpt of Sources by Alex Heath, a newsletter about AI and the tech industry, syndicated just for The Verge subs...

    #Amazon #AI benchmarks #model evaluation #AGI #machine learning #industry perspective
  • 3 days ago · ai

    ⚠️ Data Leakage in Machine Learning

    The Silent Accuracy Killer Ruining Real-World ML Systems Part 2 of the ML Engineering Failure Series Most machine learning beginners obsess over model select...

    #data leakage #machine learning #model evaluation #training pipeline #ML engineering #validation accuracy #production models
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