From 340b7b3464a364c281bd70b1a0fe96621891be73 Mon Sep 17 00:00:00 2001 From: tfx-team Date: Mon, 29 Jul 2024 15:44:43 -0700 Subject: [PATCH] We are adding a new fairness module to the course shortly. PiperOrigin-RevId: 657350971 --- docs/guide/fairness_indicators.md | 8 -------- 1 file changed, 8 deletions(-) diff --git a/docs/guide/fairness_indicators.md b/docs/guide/fairness_indicators.md index c79709afb1..785faab5f9 100644 --- a/docs/guide/fairness_indicators.md +++ b/docs/guide/fairness_indicators.md @@ -25,14 +25,6 @@ In particular, Fairness Indicators includes the ability to: * Dive deep into individual slices to explore root causes and opportunities for improvement -This -[case study](https://developers.google.com/machine-learning/practica/fairness-indicators), -complete with [videos](https://www.youtube.com/watch?v=pHT-ImFXPQo) and -programming exercises, demonstrates how Fairness Indicators can be used on one -of your own products to evaluate fairness concerns over time. - -[![](http://img.youtube.com/vi/pHT-ImFXPQo/0.jpg)](http://www.youtube.com/watch?v=pHT-ImFXPQo) - The pip package download includes: * **[Tensorflow Data Validation (TFDV)](https://www.tensorflow.org/tfx/data_validation/get_started)**