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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.