How Three ML Models Transform Product Analytics Post date October 10, 2025 Post author By ALEKSEI TERENTEV Post categories In causal-inference, data-science, machine-learning, personalization, predictive-modeling, prescriptive-analytics, product-analytics, user-behavior
How Three ML Models Transform Product Analytics Post date October 10, 2025 Post author By ALEKSEI TERENTEV Post categories In causal-inference, data-science, machine-learning, personalization, predictive-modeling, prescriptive-analytics, product-analytics, user-behavior
A Practical Guide to Measuring Business Impact in AI/ML Projects Post date October 10, 2025 Post author By Vladyslav Chekryzhov Post categories In ai, ai-business-impact, Analytics, causal-inference, experimentation, ml, performance-measurement, product-management
A Practical Guide to Measuring Business Impact in AI/ML Projects Post date October 10, 2025 Post author By Vladyslav Chekryzhov Post categories In ai, ai-business-impact, Analytics, causal-inference, experimentation, ml, performance-measurement, product-management
How to Tell If a Policy Actually Worked: A Step-by-Step Causal Inference Example in Python Post date October 9, 2025 Post author By Ari Joury, PhD Post categories In causal-inference, causality, data-analysis, data-science, python
How to Implement Propensity Score Matching: A Step-by-Step Guide Post date November 4, 2024 Post author By Angela Nedopekina Post categories In causal-inference, causal-inference-matching, data-analytics, ecommerce, hackernoon-top-story, machine-learning, propensity-score-matching, propensity-score-methods
Regression Discontinuity Design: a Primer for Data Scientists Post date July 5, 2024 Post author By Arthur Mello Post categories In causal-inference, causality, data, regression, Research
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