Data Science MasterClass (September) | 2 seats left

Design an Ads Click Prediction System

Design an Ads Click Prediction System

Free concept previewThe full case walkthrough and interview practice continue below.

Problem Formulation

Clarifying the ML Objective

ML framing: Given a user, an ad, and the context in which the ad would be shown, predict the probability that the user clicks on the ad: P(click | user, ad, context).
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Continue with the full applied walkthrough

Continue Design an Ads Click Prediction System with the applied case study, diagnostic checks, and the recommendation you would give a PM.

Work through the complete product case
Build the study design step by step
Interpret diagnostics and results
Practice a senior-level interview response

Realistic product cases inspired by

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Dan Lee

Built from a senior data scientist’s perspective

Learn what to check, what to say, and how to make the decision.

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