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Data, Machine Learning, and Reasoners

  • Anton Cagle,
  • Ahmed Ceifelnasr Ahmed

摘要

In the realm of artificial intelligence, data and machine learning algorithms form the bedrock upon which intelligent systems are built. Data provides the raw material that fuels machine learning models, enabling them to perceive patterns and make predictions. Meanwhile, sophisticated algorithms transform this data into actionable insights, driving decision-making and automation. This chapter delves into the intricate interplay between data and machine learning, exploring their respective roles, challenges, and best practices for their effective integration within AI systems.