What are some common sources of error and bias in time series forecasting?
Time series analysis is a powerful tool for forecasting future trends, patterns, and events based on historical data. However, it also comes with some challenges and pitfalls that can affect the accuracy and reliability of your predictions. In this article, we will explore some common sources of error and bias in time series forecasting, and how to avoid or minimize them.
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Vaibhava Lakshmi RavideshikAmbassador @ DeepLearning.AI and @ Women in Data Science Worldwide
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Ricardo Alonzo Fernández SalgueroPhD student in Artificial Intelligence and Statistics, Master's degrees in Software Development and Applied Statistics,…
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Miguel Angel Gaybor MurilloAI | Deep Learning | Cybersecurity | Research