[CS316] Integrating Linear Algebra with NumPy: Determinants, Rank, and Solving Linear Systems

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In this lecture, Prof. Anis Koubaa dives into key linear algebra concepts and their practical applications in data science using NumPy. Learn how to compute determinants, understand matrix rank and full rank matrices, and explore the inverse and pseudo-inverse of matrices. This session also covers solving linear systems with these tools, equipping students with foundational knowledge for real-world data science problems. Ideal for students of the CS316 course, "Introduction to AI and Data Science."
  1. Anis Koubaa
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