- Media Mix Modeling will be increasingly important in the future, but it has many hidden failure modes. What are ways you think MMMs are being used incorrectly? https://mwburke.github.io/data%20science/2023/01/31/mmm-future-or-liability.html 2 comments datascience
Linked pages
- California Consumer Privacy Act (CCPA) | State of California - Department of Justice - Office of the Attorney General https://oag.ca.gov/privacy/ccpa 24 comments
- User Privacy and Data Use - App Store - Apple Developer https://developer.apple.com/app-store/user-privacy-and-data-use/ 3 comments
- GitHub - uber/orbit: A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood. https://github.com/uber/orbit 0 comments
- GitHub - google/lightweight_mmm: LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information. https://github.com/google/lightweight_mmm 0 comments
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