File | Size |
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1. Introduction/1. Introduction.mp4 | 27.82 MB |
2. Linear Algebra/1. Scalars, Vectors, Matrices, and Tensors.mp4 | 215.45 MB |
2. Linear Algebra/2. Vector and Matrix Norms.mp4 | 53.15 MB |
2. Linear Algebra/3. Vectors, Matrices, and Tensors in Python.mp4 | 114.03 MB |
2. Linear Algebra/3.1 Project 1 - Vectors, Matrices, and Tensors in Python.zip.zip | 176.59 kB |
2. Linear Algebra/4. Special Matrices and Vectors.mp4 | 121.07 MB |
2. Linear Algebra/5. Eigenvalues and Eigenvectors.mp4 | 64.29 MB |
2. Linear Algebra/6. Norms and Eigendecomposition.mp4 | 177.86 MB |
2. Linear Algebra/6.1 Project 2 - Norms and Eigendecomposition.zip.zip | 232.01 kB |
3. Multivariate Calculus/1. Introduction to Derivatives.mp4 | 143.30 MB |
3. Multivariate Calculus/2. Basics of Integration.mp4 | 53.06 MB |
3. Multivariate Calculus/3. Gradients.mp4 | 76.84 MB |
3. Multivariate Calculus/4. Gradient Visualization.mp4 | 105.46 MB |
3. Multivariate Calculus/4.1 Project 1 - Gradient Visualization.zip.zip | 513.00 kB |
3. Multivariate Calculus/5. Optimization.mp4 | 233.06 MB |
4. Probability Theory/1. Intro to Probability Theory.mp4 | 96.82 MB |
4. Probability Theory/2. Probability Distributions.mp4 | 79.19 MB |
4. Probability Theory/3. Expectation, Variance, and Covariance.mp4 | 55.42 MB |
4. Probability Theory/4. Graphing Probability Distributions in R.mp4 | 90.49 MB |
4. Probability Theory/4.1 Graphing Probability Distributions in R.zip.zip | 1.06 kB |
4. Probability Theory/5. Covariance Matrices in R.mp4 | 61.69 MB |
4. Probability Theory/5.1 Covariance Matrices in R.zip.zip | 787.00 B |
5. Probaility Theory/1. Special Random Variables.mp4 | 71.40 MB |
5. Probaility Theory/1.1 Special Random Variables.zip.zip | 133.48 kB |
5. Probaility Theory/2. Bonus Lecture More Interesting Stuff, Offers and Discounts.html | 1.73 kB |
Udemy Course downloader.txt | 94.00 B |
udemycoursedownloader.com.url | 132.00 B |