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Sep 10, 2021

21 stories

Jan 26, 2019

An exploration about bootstrap method, the motivation, and how it works

Oct 3, 2018

Walk through the beautiful math of statistical significance

Aug 3, 2018

While taking the A/B testing course by Google on Udacity, I had some questions about some of the mathematical steps that were not clearly…

Jan 23, 2018

Innovate faster and improve more

Jun 16, 2019

Why is correlation not enough, or is correlation enough for inference? The question bugging the scientific community for a century.

Apr 10, 2020

Take the t-test and throw out the t. What you’re left with is just as neat.

Apr 1, 2018

For a person being from a non-statistical background the most confusing aspect of statistics, are always the fundamental statistical tests…

Aug 19, 2020

A handy collection for the data scientists

Dec 12, 2019

What are some statistical tests that we are most familiar with?

Apr 16, 2018

Drawing inferences from A/B tests is an integral job to many data scientists. Often, we hear about the frequentist (classical) approach…

Nov 28, 2020

A/B testing is a tool that allows to check whether certain causal relationship hold. For example, a data scientist working for an…

Aug 21, 2020

Renaming that pesky little number to relearn how to use it

Jul 24, 2020

A look inside one of the most powerful tools of the tech trade

Apr 1, 2019

Seeing is believing: build intuition by simulating everything, visualizing everything, and inspecting everything

Apr 16, 2021

A how-to guide to calculating Bayesian Expected Loss for your experiment

Aug 4, 2020

A Key to Hypothesis Testing For Categorical Variables

Jul 19, 2018

Test statistics (including p-value) is a must-know concept in finance and data science. Process of test statistics can be used to help us…

Nov 21, 2020

Other names AB testing, Confirmative Analysis, and significance testing.

Jun 2, 2020

A single, basic example: fully explained.

Apr 12, 2021

Who is P. Value, really? It’s the most popular celebrity calculation of our time — and maybe the most misunderstood. Our interviewer sat…

Data Scientist / Idea sharing / Learning & Personal Growth

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