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University Exams
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Master Degree in ML and Big Data
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Scientific Computing
Folder: University-Exams/Master-Degree-in-ML-and-Big-Data/Scientific-Computing
30 items under this folder.
Aug 23, 2026
SC - Lezione 7 - Deriving the least square formula as orthogonal projection, orthogonal basis for the range of A, QR Applications, Latent Semantic Analysis, Overdetermined System
Aug 23, 2026
SC - Lezione 8 - Eigenvalue, Eigenvectors, Spectral Decomposition, QR algorithm and Power Method
Aug 23, 2026
SC - Lezione 9 - Singular Value Decomposition
Aug 23, 2026
Scientific Computing
Aug 23, 2026
SC - Lezione 30 - 2D CWT, Discrete Wavelet Transform and its inverse, Fast Wavelet Transform Algorithm
Aug 23, 2026
SC - Lezione 31 - 2D DWT and its inverse, JPEG2000, High-pass and Low-pass filters in the Time domain
Aug 23, 2026
SC - Lezione 4 - Projection Matrix, Recall of applications of scientific computing, Variance and Average, Product of block matrices, Orthogonal matrices, square matrices, matrix norm, rotation matrix
Aug 23, 2026
SC - Lezione 5 - Laboratory - Properties of orthogonal matrix and orthogonal transformations
Aug 23, 2026
SC - Lezione 6 - Orthogonal projector, QR factorization, Pseudoinverse with QR
Aug 23, 2026
SC - Lezione 25 - Properties of the DFT, Discrete Convolution, Discrete Short-Time Fourier Transform
Aug 23, 2026
SC - Lezione 26 - Discrete Fourier Transform in two dimensions
Aug 23, 2026
SC - Lezione 27 - Fourier Series, Properties of Fourier Coefficients, compute FC
Aug 23, 2026
SC - Lezione 28 - Aliasing, Nyquist-Shannon Theorem, Fourier Transform
Aug 23, 2026
SC - Lezione 29 - Continuous Wavelet Transform (CWT) and Its Inverse, Wavelets
Aug 23, 2026
SC - Lezione 3 - Transposition of matrix-vector equation, Vector and Matrix Norm, Unit norm vector, Frobenius Norm, Angle between vectors, Orthogonal Projections and Sparse Matrices
Aug 23, 2026
SC - Lezione 19 - PageRank part 2 and importance of a Page, Markov Chains
Aug 23, 2026
SC - Lezione 2 - Vector-Vector operations, Matrix-Vector operations and their interpretations, Transposition of a product, Matrix-Matrix operations
Aug 23, 2026
SC - Lezione 20 - Computing Derivatives Finite Differences
Aug 23, 2026
SC - Lezione 21 + 22 - Automatic Differentiation, Discrete Fourier Transform introduction
Aug 23, 2026
SC - Lezione 23 - Root of Unity, DFT definition, Frequencies, Amplitude Spectrum, DFT as matrix-vector product
Aug 23, 2026
SC - Lezione 24 - DFT, Complex Vector Space, Matrix Vector multiplication, IDFT, FFT algorithm
Aug 23, 2026
SC - Lezione 15 - Minimization, Constrainted Minimization, Lagrange Multiplier, Least Square Variants
Aug 23, 2026
SC - Lezione 16 - Gradient Descent Methods, with momentum, ADAM, Stochastic, Levenberg-Marquad
Aug 23, 2026
SC - Lezione 17 - Conjugate Gradient, Minimization Applications, Maximization of the Likelihood and Logistic Regression
Aug 23, 2026
SC - Lezione 18 - Netflix Prediction Matrix Problem using SVD and Gradient Descent, Page Rank part 1
Aug 23, 2026
SC - Lezione 10 - SVD rank-reduced, Orthogonal Projections, SVD k-truncated
Aug 23, 2026
SC - Lezione 11 - Applications of SVD in Least Square systems, Pseudoinverse matrix with SVD and Latent Semantic Analysis
Aug 23, 2026
SC - Lezione 12 - SVD Application for Latent Semantic Analysis and Principal Component Analysis (PCA)
Aug 23, 2026
SC - Lezione 13 - Randomized SVD, Johnson-Lindenstrauss Lemma, SVD for recomendation system
Aug 23, 2026
SC - Lezione 14 - Systems of non linear equations, Jacobian Matrix, Newton methods for NLS, Fixed Point Problem