Data Inputs
Data inputs refer to the information that is collected and entered into a system for processing. In the context of data science and artificial intelligence, data inputs are the raw data that is used to train machine learning models and make predictions. Data inputs can come from a variety of sources, including databases, sensors, social media, and other digital platforms. It is important to ensure that data inputs are accurate, complete, and relevant to the problem being solved. Data preprocessing techniques such as cleaning, normalization, and feature engineering are often used to prepare data inputs for analysis. The quality of data inputs can have a significant impact on the accuracy and effectiveness of machine learning models.
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