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Computer Science

7,622 items in 38 lists

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  1. Testing and Debugging in Machine Learning developers.google.com

    site topic aitopic math link ↗

  2. Predicting Risk of Delays in Postal Deliveries with Neural Networks and Gradient Boosting Machines diva-portal.org

    site topic ai link ↗

  3. Stacking, Blending and Stacked Generalization chioka.in

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  4. Adaptive modelling of spatial diversification of soil classification units. Journal of Water and Land Development degruyter.com

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  5. An introduction to ROC analysis ccrma.stanford.edu

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  6. Principled Machine Learning: Practices and Tools for Efficient Collaboration dev.to

    site topic aitopic programming link ↗

  7. Handbook of Big Data crcpress.com

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  8. Intro to SVM in R cbio.ensmp.fr

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  9. A Survey on Data Collection for Machine Learning A Big Data - AI Integration Perspective_2019 deepai.org

    🎓

    site topic ai link ↗

  10. Coursera: How to Win a Data Science Competition: Learn from Top Kagglers coursera.org

    site topic science link ↗

  11. Managing Machine Learning Projects d1.awsstatic.com

    site topic ai link ↗

  12. Forecasting Canadian GDP Growth with Machine Learning carleton.ca

    site topic ai link ↗

  13. Beyond Debiasing complexdiscovery.com

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  14. Time series machine learning with h2o+timetk business-science.io

    site topic ai link ↗

  15. CatBoost Documentation catboost.ai

    site topic ai link ↗

  16. The ultimate guide to data labeling for ML cloudfactory.com

    site link ↗

  17. Using machine learning with LIME to understand employee churn business-science.io

    site topic ai link ↗

  18. Machine learning: Moving from experiments to production blog.codecentric.de

    site topic ai link ↗

  19. An Architectural Risk Analysis Of Machine Learning Systems berryvilleiml.com

    site topic ai link ↗

  20. Sales Analytics: How to use machine learning to predict and optimize product backorders business-science.io

    site topic ai link ↗

  21. HR Analytics: Using machine learning to predict employee turnover business-science.io

    site topic ai link ↗

  22. The curse of big data labeling and three ways to solve it aws.amazon.com

    site link ↗

  23. modeltime.h2o R package business-science.github.io

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  24. A Human-Centered Interpretability Framework Based on Weight of Evidence arxiv.org

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    site topic math link ↗

  25. Deep learning & parameter tuning with mxnet, h2o package in R blog.hackerearth.com

    site topic ai link ↗

  26. Machine Learning Testing: Survey, Landscapes and Horizons arxiv.org

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    site topic aitopic programmingtopic sciencetopic mathtopic books & writing link ↗

  27. H2O AutoML: Scalable Automatic Machine Learning automl.org

    site topic ai link ↗

  28. On human intellect and machine failures: Troubleshooting integrative machine learning systems arxiv.org

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    site topic ai link ↗

  29. An Open Source AutoML Benchmark automl.org

    site topic aitopic programming link ↗

  30. Underspecification Presents Challenges for Credibility in Modern Machine Learning arxiv.org

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    site topic ai link ↗

  31. Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims arxiv.org

    site topic ai link ↗

  32. Robust and flexible estimation of data-dependent stochastic mediation effects: a proposed method and example in a… arxiv.org

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  33. Preliminary Systematic Literature Review of Machine Learning System Development Process arxiv.org

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    site topic aitopic programmingtopic mathtopic books & writing link ↗

  34. Inherent trade-offs in the fair determination of risk scores arxiv.org

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  35. Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial… arxiv.org

    site topic aitopic programmingtopic science link ↗

  36. How to organize data labelling for ML altexsoft.com

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  37. Comparative Performance Analysis of Neural Networks Architectures on H2O Platform for Various Activation Functions arxiv.org

    site topic ai link ↗

  38. Best Practices in Machine Learning Infrastructure algorithmia.com

    site topic ai link ↗

  39. Automated versus do-it-yourself methods for causal inference: Lessons learned from a data analysis competition arxiv.org

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  40. Aim aimstack.io

    Aim is an open source experiment tracking tool.

    site topic programming link ↗

  41. Fairness Indicators: Scalable Infrastructure for Fair ML Systems ai.googleblog.com

    🎓

    site topic ai link ↗

  42. Practical Machine Learning with H2O: Powerful, Scalable Techniques for Deep Learning and AI amazon.com

    site topic ai link ↗

  43. Responsible AI practices ai.google

    ⭐

    site topic ai link ↗

  44. Pitfalls of supervised feature selection academic.oup.com

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  45. Machine Learning Using R amazon.com

    site topic ai link ↗

  46. Andrew Cantino twitter.com

    and Ryan Stout [video]

    site link ↗

  47. Benjamin Curtis twitter.com

    [video | slides]

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  48. Twitter twitter.com

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  49. Richard Schneeman twitter.com

    [video | slides]

    site link ↗

  50. Rimas Silkaitis twitter.com

    [post]

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