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GATE DA Exam Prep
·
Module 2
Essential Mathematical Foundations
1
Eigenvalues and Eigenvectors: A Geometric Perspective
Describe eigenvalues/eigenvectors and their geometric significance.
2
Understanding Matrix Decompositions: LU and SVD
Explain the purpose of matrix decompositions like LU and Singular Value Decomposition (SVD).
3
Optimizing with Derivatives: Maxima and Minima
Apply first and second derivative tests to find maxima and minima of single-variable functions.
4
Taylor Series for Function Approximation
Describe the purpose of Taylor series for function approximation.
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Core Statistics for Data Science
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Data Management & Algorithms