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The Math Needed for AI/ML (Complete Roadmap)

  • Understanding the math behind AI and machine learning is essential to troubleshoot model issues and improve performance.
  • Core pillars for the math foundation include statistical intuition, linear algebra, and calculus.
  • Studying key concepts like algorithms, vectors, matrices, and gradient descent is crucial for mastering AI math.
  • Resources like 3Blue1Brown's YouTube playlists, Mathematics for Machine Learning specialization by Imperial College London, and Khan Academy can aid in learning AI math progressively.

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