AI systems rely on data to learn and make accurate predictions. Training data serves as the foundation upon which machine learning models are built. The richer and more diverse the data, the better your AI system will perform. But achieving this requires careful planning, robust collection methods, and attention to ethical considerations.
Read full article here: - https://www.linkedin.com/pulse..../how-collect-data-ai
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