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[FreeTutorials.Us] Udemy - Mathematical Foundation For Machine Learning and AI
magnet:?xt=urn:btih:751867c0051b19b13368a053414f2c7c6d646371&dn=[FreeTutorials.Us] Udemy - Mathematical Foundation For Machine Learning and AI
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Hash值:
751867c0051b19b13368a053414f2c7c6d646371
点击数:
155
文件大小:
1.8 GB
文件数量:
18
创建日期:
2020-7-12 16:53
最后访问:
2024-5-1 21:49
访问标签:
FreeTutorials
Us
Udemy
-
Mathematical
Foundation
For
Machine
Learning
and
AI
文件列表详情
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/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
3. Multivariate Calculus/1. Introduction to Derivatives.mp4 143.3 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/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/5. Covariance Matrices in R.mp4 61.69 MB
5. Probaility Theory/1. Special Random Variables.mp4 71.4 MB
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