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Lecture
Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
This lecture covers topics related to matrix operations, such as determining the rank of a matrix, finding the kernel dimension, and working with transposed matrices. The instructor explains how to calculate the rank and kernel dimension of a matrix, emphasizing the importance of bases and linear independence. The lecture also delves into finding coordinates of vectors in different bases, transforming linear transformations into matrices, and completing bases to form a full vector space. Practical exercises are provided to reinforce the understanding of these concepts.