Data can lead to incorrect predictions

[Chrisandrew]

Despite its benefits, machine learning also comes with challenges. High-quality data is essential for accurate results, and biased or incomplete data can lead to incorrect predictions. Additionally, developing machine learning models requires technical expertise and computational resources. 

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Ethical concerns, including data privacy and algorithmic bias, are alsoimportant considerations as machine learning continues to expand globally.