# Learning with Privacy at Scale - Apple

<https://machinelearning.apple.com/2017/12/06/learning-with-privacy-at-scale.html>

- Host: [machinelearning.apple.com](https://links.thingelstad.xyz/hosts/machinelearning.apple.com/)
- Saved: December 15, 2017 (2017-12-16T02:52:17Z)
- Record: https://links.thingelstad.xyz/links/de208e1423ca/
- JSON: https://links.thingelstad.xyz/links/de208e1423ca.json

## What Jamie wrote

Some details on what _differential privacy_ is and how it works in order to build more intelligent applications that use real data from real users without the negative privacy implications. Are there other companies applying rigor like this for privacy? I continue to see Apple making a long bet on privacy as a feature and I like that.

## Facts

- Kind: [Page](https://links.thingelstad.xyz/kinds/page/)

## Appears in

- [WT32: Weekly Thing for December 16, 2017](https://weekly.thingelstad.com/archive/32/), Links 📌

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## Elsewhere

- Wayback Machine: https://web.archive.org/web/*/https://machinelearning.apple.com/2017/12/06/learning-with-privacy-at-scale.html