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[DesireCourse.Net] Udemy - Mathematical Foundation For Machine Learning and AI
magnet:?xt=urn:btih:fc9f993874d4293d68f456a4a5b069b95f8e7150&dn=[DesireCourse.Net] Udemy - Mathematical Foundation For Machine Learning and AI
磁力链接详情
Hash值:
fc9f993874d4293d68f456a4a5b069b95f8e7150
点击数:
225
文件大小:
1.8 GB
文件数量:
18
创建日期:
2019-9-4 09:38
最后访问:
2024-5-29 00:16
访问标签:
DesireCourse
Net
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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