Udemy Gaussian Process Regression for Bayesian Machine Learning BOOKWARE-SOFTiMAGE | Apps-Tutorials | MP4,PDF | 270.57 MiB
950 kb/s 1280×720 | AAC 128 kb/s 2 CH
Udemy.Gaussian.Process.Regression.for.Bayesian.Machine.Learning.BOOKWARE
-SOFTiMAGE
RELEASE DATE....: 07-06-2020
RELEASE TYPE....: tut
RELEASE FORMAT..: video
https://tinyurl.com/y9h83u7m
SOFTiMAGE is currently looking for: nothing but global peace!
115M 1. Fundamentals 22M 1. Fundamentals/1. Introduction.mp4 204K 1. Fundamentals/1.1 reading1.pdf 4.0K 1. Fundamentals/10. Reading 5.html 4.0K 1. Fundamentals/2. Reading 1.html 28M 1. Fundamentals/3. The conditional of a Gaussian.mp4 308K 1. Fundamentals/3.1 reading2.pdf 4.0K 1. Fundamentals/4. Reading 2.html 17M 1. Fundamentals/5. An example of finding the conditional.mp4 272K 1. Fundamentals/5.1 reading3.pdf 4.0K 1. Fundamentals/6. Reading 3.html 33M 1. Fundamentals/7. Supervised learning with the Gaussian process.mp4 224K 1. Fundamentals/7.1 reading4.pdf 4.0K 1. Fundamentals/8. Reading 4.html 16M 1. Fundamentals/9. An example of supervised learning.mp4 248K 1. Fundamentals/9.1 reading5.pdf 149M 2. Application 23M 2. Application/1. Kernels and their usefulness.mp4 3.4M 2. Application/1.1 reading6.pdf 4.0K 2. Application/2. Reading 6.html 33M 2. Application/3. Classic Gaussian process regression examples.mp4 1.8M 2. Application/3.1 reading7.pdf 4.0K 2. Application/4. Reading 7.html 34M 2. Application/5. Applying Gaussian process regression to real-world data I.mp4 21M 2. Application/6. Applying Gaussian process regression to real-world data II.mp4 19M 2. Application/7. Applying Gaussian process regression to real-world data III.mp4 18M 2. Application/8. Wrap summarizing the process.mp4 8.0K 3. Assignment 4.0K 3. Assignment/1. Running a Gaussian process regression algorithm in Python and optimizing kernels.html 263M total
File: 1. Introduction.mp4 Size: 22705909 bytes (21.65 MiB), duration: 00:03:11, avg.bitrate: 951 kb/s Audio: aac, 48000 Hz, stereo (und) Video: h264, yuv420p, 1280x720, 30.00 fps(r) (und)
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