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klotz: machine learning* + root cause analysis*

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1. Causal Validation: A Unified Theory of Everything

   This article discusses causal inference, an emerging field in machine learning that goes beyond predicting what could happen to focus on understanding the cause-and-effect relationships in data. The author explains how to detect and fix errors in a directed acyclic graph (DAG) to make it a valid representation of the underlying data.

   2024-05-17 Tags: causal inference, machine learning, data analysis, dag, root cause analysis, production engineering, observability by klotz
2. salesforce/PyRCA: PyRCA: A Python Machine Learning Library for Root Cause Analysis

   2023-08-07 Tags: python, machine learning, salesforce, githyb, foss, root cause analysis, auto-rca by klotz
3. Meet PyRCA: An Open-Source Python Machine Learning Library Designed for Root Cause Analysis (RCA) in AIOps - MarkTechPost

   2023-06-27 Tags: python, machine learning, salesforce, githyb, foss, root cause analysis by klotz
4. Understanding Causal Trees

   2023-02-04 Tags: causality, explainability, machine learning, root cause analysis by klotz
5. Omitted variable bias

   2022-05-26 Tags: machine learning, omitted variable, bias, hidden variable, root cause analysis by klotz
6. a survey of causal inference applications at netflix

   2022-05-23 Tags: netflix, machine learning, causal inference, root cause analysis by klotz
7. Establishing Causality: Part 3. Regression discontinuity designs | by Michał Oleszak | Oct, 2021 | Towards Data Science

   2021-10-11 Tags: causality, root cause analysis, machine learning by klotz
8. GPT-3 Tools for Software and DevOps Engineers - DZone AI

   2021-09-25 Tags: gpt-3, production engineering, devops, root cause analysis, log files, deep learning by klotz
9. Determining causality in correlated time series - Amazon Science

   2021-08-20 Tags: time series, anomaly detection, correlation, causality, root cause analysis, amazon, aws, machine learning by klotz
10. Be Careful When Interpreting Predictive Models in Search of Causal Insights | by Scott Lundberg | May, 2021 | Towards Data Science

    2021-05-19 Tags: shap, xgboost, prediction, root cause analysis, machine learning, deep learning by klotz

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