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Mathematics Behind Machine Learning: The Hidden Engine of AI

  • Mathematics is not just a supporting tool for machine learning — it is the language in which these models are written, trained, and understood.
  • Linear algebra provides the framework for representing and manipulating data in machine learning.
  • Calculus, particularly differential calculus, underpins the learning process in ML by optimizing model parameters.
  • Probability, statistics, and optimization are also essential mathematical domains in machine learning.

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