Tag:data-science

All the articles with the tag "data-science".

• The ML Trap in Price Elasticity Estimation

  Medium
  1 Jun, 2026

  How an ML model can predict purchasing patterns well yet estimate price elasticity badly — and why endogenous pricing leads flexible models to learn spurious correlations and recommend wrong prices.

• Demystifying Causality: An Introduction in Causal Inference and Applications. Part 5

  Medium
  27 Aug, 2023

  Instrumental variables in causal inference — using natural experiments like rivers and judicial assignment to identify causal effects.

• Demystifying Causality: An Introduction in Causal Inference and Applications. Part 4

  Medium
  2 Jul, 2023

  Estimating causal effects when you don't have access to causal graphs — methods and tradeoffs.

• Demystifying Causality: An Introduction to Causal Inference and Applications. Part 3

  Medium
  16 May, 2023

  Formal operators in causal inference — including the do-operator — and how they shape the questions data can answer.

• Demystifying Causality: An Introduction to Causal Inference and Applications. Part 2

  Medium
  24 Apr, 2023

  Building on Part 1's foundations to explore additional concepts in causal inference.

• Demystifying Causality: An Introduction to Causal Inference and Applications. Part 1

  Medium
  12 Apr, 2023

  Opening post in the causal inference series — basics, motivation, and a roadmap toward state-of-the-art methods.