Variance Reduction in Experiments – Part 1: Intuition
The intuition behind variance reduction and why it is important in randomized experiments.- 26910Murphy ≡ DeepGuide
Variance Reduction in Experiments – Part 2: Covariate Adjustment Methods
Deep dive into MLRATE - machine learning regression-adjusted treatment effect estimator and comparing it to other methods.- 24090Murphy ≡ DeepGuide
Why are Randomized Experiments the Gold Standard in Causal Inference?
Understanding the identifying assumptions in experiments- 26640Murphy ≡ DeepGuide
Choosing the Right Path: Churn Models vs. Uplift Models
Do we really need churn models? Maybe uplift modelling can give us more comprehensive answer?- 25520Murphy ≡ DeepGuide
Estimating Total Experimentation Impact
How to control for false-discovery and selection biases when measuring your organization's total impact- 27354Murphy ≡ DeepGuide
A Tableau Calculus for the Analysis of Experiments
Unravelling the Fundamental Data Structure of Experimental Analysis- 21062Murphy ≡ DeepGuide
Better A/B Testing with Survival Analysis
When running experiments - don't forget to bring your survival kit- 29793Murphy ≡ DeepGuide
Not A/B Testing Everything is Fine
Leading voices in experimentation suggest that you test everything. Some inconvenient truths about A/B testing suggest it's better not to.- 26252Murphy ≡ DeepGuide
What Is Switchback Testing for Decision Models?
A/B testing for decision models- 25816Murphy ≡ DeepGuide
An Overview of Contextual Bandits
A dynamic approach to treatment personalization- 26069Murphy ≡ DeepGuide
How to Set Up Longitudinal Experiments: A Data Scientist's Guide
Unlocking rapid "test-and-learn" and capturing full-scaled data science value from experimentation- 27095Murphy ≡ 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- 22304Murphy ≡ DeepGuide
Stable and fast randomization using hash spaces
Generate consistent assignments on the fly across different implementation environments- 29473Murphy ≡ DeepGuide
Mastering Sample Size Calculations
A/B Testing, Reject Inference, and How to Get the Right Sample Size for Your Experiments- 23701Murphy ≡ DeepGuide
The Power of Optimization in Designing Experiments Involving Small Samples
A step-by-step guide to designing more precise experiments using optimization in Python- 27835Murphy ≡ DeepGuide
Machine Learning Experiments Done Right
A detailed guideline for designing machine learning experiments that produce reliable, reproducible results.- 23297Murphy ≡ 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