Last updated on Aug 19, 2024

How can you reduce noise in a machine learning dataset?

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Noise is any unwanted or irrelevant information that interferes with the quality and performance of a machine learning dataset. Noise can come from various sources, such as errors in data collection, processing, labeling, or transmission. Noise can affect the accuracy, generalization, and robustness of machine learning models and algorithms. Therefore, reducing noise in a machine learning dataset is an important step to improve the results and outcomes of your AI projects. In this article, you will learn some practical tips and techniques to reduce noise in a machine learning dataset.

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