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Название coursera-coding-the-matrix
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Coding the Matrix Linear Algebra through Computer Science Applications 0.0 Course Introduction Part 1 (953).mp4 124.02Мб
Coding the Matrix Linear Algebra through Computer Science Applications 0.1 Course Introduction Part 2 (849).mp4 86.63Мб
Coding the Matrix Linear Algebra through Computer Science Applications 0.2 The Function The function and other preliminaries (2055).mp4 141.43Мб
Coding the Matrix Linear Algebra through Computer Science Applications 0.3 The Field Introduction to complex numbers (552).mp4 34.85Мб
Coding the Matrix Linear Algebra through Computer Science Applications 0.4 The Field Playing with C (1519).mp4 87.88Мб
Coding the Matrix Linear Algebra through Computer Science Applications 0.5 The Field Playing with GF(2) (1028).mp4 68.07Мб
Coding the Matrix Linear Algebra through Computer Science Applications 1.0 The Vector What is a vector (820).mp4 48.98Мб
Coding the Matrix Linear Algebra through Computer Science Applications 1.1 The Vector Vector addition and scalar-vector multiplication (1016).mp4 60.63Мб
Coding the Matrix Linear Algebra through Computer Science Applications 1.2 The Vector Dictionary-based representations of vectors (910).mp4 54.95Мб
Coding the Matrix Linear Algebra through Computer Science Applications 1.3 The Vector Vectors over GF(2) (918).mp4 54.09Мб
Coding the Matrix Linear Algebra through Computer Science Applications 1.4 The Vector Dot-product (849).mp4 51.59Мб
Coding the Matrix Linear Algebra through Computer Science Applications 1.5 The Vector Dot-product of vectors over GF(2) (444).mp4 12.92Мб
Coding the Matrix Linear Algebra through Computer Science Applications 1.6 The Vector Solving a triangular system of linear equations (400).mp4 9.55Мб
Coding the Matrix Linear Algebra through Computer Science Applications 2.0 The Vector Space Linear combinations.mp4 28.00Мб
Coding the Matrix Linear Algebra through Computer Science Applications 2.1 The Vector Space Span.mp4 21.48Мб
Coding the Matrix Linear Algebra through Computer Science Applications 2.2 The Vector Space Geometry of Sets of Vectors.mp4 76.49Мб
Coding the Matrix Linear Algebra through Computer Science Applications 2.3 The Vector Space Vector spaces.mp4 30.76Мб
Coding the Matrix Linear Algebra through Computer Science Applications 2.4 The Vector Space Checksum function.mp4 9.87Мб
Coding the Matrix Linear Algebra through Computer Science Applications 3.0 The Matrix What is a matrix.mp4 81.43Мб
Coding the Matrix Linear Algebra through Computer Science Applications 3.1 The Matrix Matrix-vector and vector-matrix multiplication.mp4 32.02Мб
Coding the Matrix Linear Algebra through Computer Science Applications 3.2 The Matrix Matrix-vector multiplication in terms of dot-products.mp4 31.42Мб
Coding the Matrix Linear Algebra through Computer Science Applications 3.3 The Matrix Null space.mp4 10.66Мб
Coding the Matrix Linear Algebra through Computer Science Applications 3.4 The Matrix Error-correcting codes.mp4 13.76Мб
Coding the Matrix Linear Algebra through Computer Science Applications 3.5 The Matrix Matrices and their functions.mp4 56.77Мб
Coding the Matrix Linear Algebra through Computer Science Applications 3.6 The Matrix Linear functions.mp4 85.71Мб
Coding the Matrix Linear Algebra through Computer Science Applications 3.7 The Matrix Matrix-matrix multiplication.mp4 67.31Мб
Coding the Matrix Linear Algebra through Computer Science Applications 3.8 The Matrix Matrix-matrix multiplication and function composition.mp4 18.46Мб
Coding the Matrix Linear Algebra through Computer Science Applications 3.9 The Matrix Matrix inverse.mp4 74.10Мб
Coding the Matrix Linear Algebra through Computer Science Applications 4.0 The Basis Coordinate systems.mp4 10.41Мб
Coding the Matrix Linear Algebra through Computer Science Applications 4.10 The Basis The Exchange Lemma.mp4 26.77Мб
Coding the Matrix Linear Algebra through Computer Science Applications 4.1 The Basis Lossy compression.mp4 10.93Мб
Coding the Matrix Linear Algebra through Computer Science Applications 4.2 The Basis Algorithms for finding a set of generators.mp4 12.30Мб
Coding the Matrix Linear Algebra through Computer Science Applications 4.3 The Basis Minimum spanning forest.mp4 71.96Мб
Coding the Matrix Linear Algebra through Computer Science Applications 4.4 The Basis Linear dependence.mp4 102.30Мб
Coding the Matrix Linear Algebra through Computer Science Applications 4.5 The Basis Basis.mp4 23.08Мб
Coding the Matrix Linear Algebra through Computer Science Applications 4.6 The Basis Unique representation.mp4 6.85Мб
Coding the Matrix Linear Algebra through Computer Science Applications 4.7 The Basis Change of basis.mp4 13.82Мб
Coding the Matrix Linear Algebra through Computer Science Applications 4.8 The Basis Perspective rendering.mp4 31.39Мб
Coding the Matrix Linear Algebra through Computer Science Applications 4.9 The Basis Perspective rectification.mp4 63.09Мб
Coding the Matrix Linear Algebra through Computer Science Applications 5.0 Dimension The size of a basis.mp4 34.52Мб
Coding the Matrix Linear Algebra through Computer Science Applications 5.1 Dimension Dimension and rank I.mp4 17.79Мб
Coding the Matrix Linear Algebra through Computer Science Applications 5.2 Dimension Dimension and rank II.mp4 104.85Мб
Coding the Matrix Linear Algebra through Computer Science Applications 5.3 Dimension Direct sum.mp4 29.31Мб
Coding the Matrix Linear Algebra through Computer Science Applications 5.4 Dimension Dimension and linear functions I.mp4 44.46Мб
Coding the Matrix Linear Algebra through Computer Science Applications 5.5 Dimension Dimension and linear functions II.mp4 28.50Мб
Coding the Matrix Linear Algebra through Computer Science Applications 5.6 Dimension Two representations of vector spaces.mp4 37.76Мб
Coding the Matrix Linear Algebra through Computer Science Applications 5.7 Dimension Threshold secret sharing.mp4 23.56Мб
Coding the Matrix Linear Algebra through Computer Science Applications 6.0 Gaussian Elimination Echelon form.mp4 15.37Мб
Coding the Matrix Linear Algebra through Computer Science Applications 6.1 Gaussian Elimination Transforming a matrix to echelon form.mp4 36.08Мб
Coding the Matrix Linear Algebra through Computer Science Applications 6.2 Gaussian Elimination Using Gaussian elimination to solve a system of equations.mp4 34.02Мб
Coding the Matrix Linear Algebra through Computer Science Applications 6.3 Gaussian Elimination Factoring integers.mp4 108.37Мб
Coding the Matrix Linear Algebra through Computer Science Applications 6.4 The Inner Product The inner product.mp4 17.75Мб
Coding the Matrix Linear Algebra through Computer Science Applications 6.5 The Inner Product Orthogonality.mp4 101.74Мб
Coding the Matrix Linear Algebra through Computer Science Applications 7.0 Orthogonalization Finding the closest point in a plane.mp4 14.75Мб
Coding the Matrix Linear Algebra through Computer Science Applications 7.1 Orthogonalization Projection orthogonal to multiple vectors.mp4 116.97Мб
Coding the Matrix Linear Algebra through Computer Science Applications 7.2 Orthogonalization Building an orthogonal set of generators.mp4 39.67Мб
Coding the Matrix Linear Algebra through Computer Science Applications 7.3 Orthogonalization Computing a basis.mp4 26.35Мб
Coding the Matrix Linear Algebra through Computer Science Applications 7.4 Orthogonalization Orthogonal complement.mp4 35.52Мб
Coding the Matrix Linear Algebra through Computer Science Applications 7.5 Orthogonalization Two ways to find a basis for the null space.mp4 19.62Мб
Coding the Matrix Linear Algebra through Computer Science Applications 7.6 Orthogonalization The QR factorization.mp4 19.49Мб
Coding the Matrix Linear Algebra through Computer Science Applications 7.7 Orthogonalization Using the QR factorization to solve a matrix equation Ax = b.mp4 39.89Мб
Coding the Matrix Linear Algebra through Computer Science Applications 7.8 Orthogonalization Applications of least squares.mp4 32.45Мб
Coding the Matrix Linear Algebra through Computer Science Applications 8.0 How to submit assignments.mp4 8.77Мб
python_lab1.pdf 450.07Кб
python_lab2.pdf 124.42Кб
python_lab3.pdf 133.28Кб
python_lab4.pdf 139.35Кб
python_lab5.pdf 193.94Кб
python_lab6.pdf 161.74Кб
python_lab7.pdf 162.13Кб
python_lab8.pdf 4.60Мб
python_lab9.pdf 189.03Кб
README.txt 267б
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