Probing into Minimum Sample Size Formula: Derivation and Usage
A gentle walkthrough of the sample size formula in A/B tests- 30195Murphy ≡ DeepGuide
Batched Bandit Problems
Multi-Armed Bandits with Delayed Rewards- 26451Murphy ≡ DeepGuide
Seasoning your AB testing experiments
How can salt help you with experiments?- 25654Murphy ≡ DeepGuide
Common AB testing mistakes. Vol 2
Let's learn from our mistakes!- 24163Murphy ≡ DeepGuide
How to use Causal Inference when A/B testing is not available
Evaluating ad targeting product using causal inference: propensity score matching!- 26348Murphy ≡ DeepGuide
A Guide on Estimating Long-Term Effects in A/B Tests
Addressing the complexity of identifying and measuring long-term effects in online experiments- 20285Murphy ≡ DeepGuide
t-Test : From Application to Theory
An overview of the statistical tools, the motivation behind using these tools, and an explanation of the results and their interpretation- 21296Murphy ≡ DeepGuide
Stop the Count! Why Putting A Time Limit on Metrics is Critical for Fast and Accurate Experiments
Why your experiments might never reach significance- 22347Murphy ≡ DeepGuide
Don't Do Laundry Today, It Will Be Cheaper Tomorrow
Analysing electricity price changes in London through causal inference- 28735Murphy ≡ DeepGuide
Does It Matter That Online Experiments Interact?
What interactions do, why they are just like any other change in the environment post-experiment, and some reassurance- 29928Murphy ≡ DeepGuide
We look at an implementation of the HyperLogLog cardinality estimati
Using clustering algorithms such as K-means is one of the most popul
Level up Your Data Game by Mastering These 4 Skills
Learn how to create an object-oriented approach to compare and evalu
When I was a beginner using Kubernetes, my main concern was getting
Tutorial and theory on how to carry out forecasts with moving averag