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| Total size: |
283,704,700 |
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|
| Archived
files |
|
1. Fundamentals\1. Introduction.mp4
[607a954ae96ac8e]
|
22,705,909 |
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|
1. Fundamentals\1.1 reading1.pdf |
205,698 |
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|
1. Fundamentals\10. Reading 5.html |
167 |
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|
1. Fundamentals\2. Reading 1.html |
167 |
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1. Fundamentals\3. The conditional of a Gaussian.mp4
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1. Fundamentals\3.1 reading2.pdf |
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1. Fundamentals\4. Reading 2.html |
167 |
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1. Fundamentals\5. An example of finding the conditional.mp4
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1. Fundamentals\5.1 reading3.pdf |
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1. Fundamentals\6. Reading 3.html |
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1. Fundamentals\7. Supervised learning with the Gaussian process.mp4
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1. Fundamentals\7.1 reading4.pdf |
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1. Fundamentals\8. Reading 4.html |
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1. Fundamentals\9. An example of supervised learning.mp4
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1. Fundamentals\9.1 reading5.pdf |
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2. Application\1. Kernels and their usefulness.mp4
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2. Application\1.1 reading6.pdf |
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2. Application\2. Reading 6.html |
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2. Application\3. Classic Gaussian process regression examples.mp4
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2. Application\3.1 reading7.pdf |
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2. Application\4. Reading 7.html |
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2. Application\5. Applying Gaussian process regression to real-world data I.mp4
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2. Application\6. Applying Gaussian process regression to real-world data II.mp4
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2. Application\7. Applying Gaussian process regression to real-world data III.mp4
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2. Application\8. Wrap summarizing the process.mp4
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3. Assignment\1. Running a Gaussian process regression algorithm in Python and optimizing kernels.html |
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1. Fundamentals |
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2. Application |
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| Total size: |
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