Data is the foundation of Artificial Intelligence (AI) and Machine Learning (ML). These technologies learn from data to recognize patterns, make decisions, and improve performance over time. In supervised learning, labeled data teaches models how to predict outcomes. In unsupervised learning, unstructured data helps discover hidden patterns. The quality, quantity, and relevance of data directly impact the accuracy of AI and ML algorithms. Without rich datasets, even the most advanced models fail to deliver meaningful insights. That’s why professionals with strong data handling skills are in high demand across industries.
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