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  1. We have a new feature that we want to test.

  2. In a recent AB test that I did, I did the usual calculation of sample size, power, alpha, and MDE.

  3. I have known AB Testing and used it for a while in my work but sometimes I find myself remembering the equation too much and unsure about how things worked under the hood.

  4. Confidence intervals Confidence interval is a range of values that is likely to contain an unknown population parameter.

  5. Have you ever wondered how search engine works?

  6. Class imbalance is a common problem in machine learning, where the negative class greatly outnumbers the positive class (or vice versa).

  7. I recently found out that linear regression assumed that the output variable comes from normal distribution, which consequently turns the coefficient to have probabilistic interpretation.

  8. In the previous post we talked about how does frequentist hypothesis testing work in an AB test using a normal distribution.

  9. AB test is one of the integral parts that a data scientist need to master.

  10. In this previous post, I wrote about the language of causal inference via counterfactuals.