Machine learning can use causal inference to make sense of data and to improve robustness and generalizability of models. In an on-demand webinar with Amit Sharma and Emre Kiciman, find out how to start with causal inference in your work. Register now: https://aka.ms/AAaj77n | Microsoft Research
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Replying to @Crypex295 the first step in learning more about the causal inference track in data science is building a foundation of experimentation (a/b testing). Udacity offers a free course in this. From there, I’ve found nothing improves intuition better than testing techniques on simulated data #datascientist #dataanalyst #datascience #breakintotech #causalinference #datanalytics #breakintodatascience
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