Mathematical Foundation For Machine Learning and AI- [UdemyCourseDownloader]
- 收录时间:2020-02-18 19:45:47
- 文件大小:2GB
- 下载次数:41
- 最近下载:2020-12-18 04:41:08
- 磁力链接:
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文件列表
- 3. Multivariate Calculus/5. Optimization.mp4 233MB
- 2. Linear Algebra/1. Scalars, Vectors, Matrices, and Tensors.mp4 215MB
- 2. Linear Algebra/6. Norms and Eigendecomposition.mp4 178MB
- 3. Multivariate Calculus/1. Introduction to Derivatives.mp4 143MB
- 2. Linear Algebra/4. Special Matrices and Vectors.mp4 121MB
- 2. Linear Algebra/3. Vectors, Matrices, and Tensors in Python.mp4 114MB
- 3. Multivariate Calculus/4. Gradient Visualization.mp4 105MB
- 4. Probability Theory/1. Intro to Probability Theory.mp4 97MB
- 4. Probability Theory/4. Graphing Probability Distributions in R.mp4 90MB
- 4. Probability Theory/2. Probability Distributions.mp4 79MB
- 3. Multivariate Calculus/3. Gradients.mp4 77MB
- 5. Probaility Theory/1. Special Random Variables.mp4 71MB
- 2. Linear Algebra/5. Eigenvalues and Eigenvectors.mp4 64MB
- 4. Probability Theory/5. Covariance Matrices in R.mp4 62MB
- 4. Probability Theory/3. Expectation, Variance, and Covariance.mp4 55MB
- 2. Linear Algebra/2. Vector and Matrix Norms.mp4 53MB
- 3. Multivariate Calculus/2. Basics of Integration.mp4 53MB
- 1. Introduction/1. Introduction.mp4 28MB
- 3. Multivariate Calculus/4.1 Project 1 - Gradient Visualization.zip.zip 513KB
- 2. Linear Algebra/6.1 Project 2 - Norms and Eigendecomposition.zip.zip 232KB
- 2. Linear Algebra/3.1 Project 1 - Vectors, Matrices, and Tensors in Python.zip.zip 177KB
- 5. Probaility Theory/1.1 Special Random Variables.zip.zip 133KB
- 5. Probaility Theory/2. Bonus Lecture More Interesting Stuff, Offers and Discounts.html 2KB
- 4. Probability Theory/4.1 Graphing Probability Distributions in R.zip.zip 1KB
- 4. Probability Theory/5.1 Covariance Matrices in R.zip.zip 787B
- udemycoursedownloader.com.url 132B
- Udemy Course downloader.txt 94B
