From dc23f1cc90c1d342713954c76d003e0b6b501fc8 Mon Sep 17 00:00:00 2001 From: Kevin Deldycke Date: Fri, 16 Jun 2023 13:38:57 +0400 Subject: [PATCH] Avoid redirect --- readme.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/readme.md b/readme.md index 1ff9a17..c972146 100644 --- a/readme.md +++ b/readme.md @@ -225,7 +225,7 @@ Help your customers predict their upcoming and future consumption based on their - [Forecasting: Principles and Practice](https://otexts.com/fpp2/) - “Comprehensive introduction to forecasting methods and to present enough information about each method for readers to be able to use them sensibly.” -- [Transforming Financial Forecasting with Data Science and Machine Learning at Uber](https://eng.uber.com/transforming-financial-forecasting-machine-learning/) - Discusses how Uber apply data science and machine learning in their financial planning platforms. +- [Transforming Financial Forecasting with Data Science and Machine Learning at Uber](https://www.uber.com/blog/transforming-financial-forecasting-machine-learning/) - Discusses how Uber apply data science and machine learning in their financial planning platforms. - [Time Series Prediction - A short introduction for pragmatists](https://www.liip.ch/en/blog/time-series-prediction-a-short-comparison-of-best-practices) - [Facebook's Prophet](https://facebook.github.io/prophet/) (which [uses Stan underneath](https://statmodeling.stat.columbia.edu/2017/03/01/facebooks-prophet-uses-stan/)), seems to be worth checking to implement a cost forecast tool while taking care of seasonality.