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[FreeCoursesOnline.Me] Coursera - Addressing Large Hadron Collider Challenges by Machine Learning
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BT种子基本信息
种子哈希:
5c588b5298f862f3b4cc4ce56415c4e81aa916a1
文档大小:
891.8 MB
文档个数:
55
个文档
下载次数:
1937
次
下载速度:
极快
收录时间:
2020-11-06
最近下载:
2024-12-06
DMCA/屏蔽:
DMCA/屏蔽
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文档列表
004.Search for New Physics in Rare Decays/013. Lepton Flavour Violation.mp4
56.5 MB
001.Introduction/002. Experimental particle physics.mp4
55.1 MB
001.Introduction/003. Testing hypotheses experimentally.mp4
51.4 MB
001.Introduction/001. Introduction into the course.mp4
50.7 MB
005.Search for Dark Matter Hints with Machine Learning at new CERN experiment/017. Search for Dark Matter at Accelerator Experiment.mp4
49.4 MB
002.Detector composition/008. Calorimeters.mp4
48.7 MB
003.Particle identification with machine learning/011. Uniform classifiers.mp4
48.6 MB
004.Search for New Physics in Rare Decays/014. Classifier Constraints.mp4
47.7 MB
005.Search for Dark Matter Hints with Machine Learning at new CERN experiment/018. Getting Data Before Experiment is built.mp4
45.9 MB
005.Search for Dark Matter Hints with Machine Learning at new CERN experiment/019. Going Deeper.mp4
39.4 MB
002.Detector composition/005. Particle identification.mp4
36.7 MB
002.Detector composition/009. Muon system.mp4
32.9 MB
004.Search for New Physics in Rare Decays/012. Physics as a Game of Theories.mp4
32.5 MB
001.Introduction/004. Particle physics simulation.mp4
32.4 MB
002.Detector composition/006. Tracking system.mp4
30.2 MB
006.Detector optimization/021. Detector optimization.mp4
28.6 MB
003.Particle identification with machine learning/010. Machine learning in particle identification.mp4
28.0 MB
005.Search for Dark Matter Hints with Machine Learning at new CERN experiment/016. Dark Matter.mp4
28.0 MB
002.Detector composition/007. Ring Imaging Cherenkov detector.mp4
25.7 MB
004.Search for New Physics in Rare Decays/015. Data vs Simulation Agreement.mp4
23.5 MB
006.Detector optimization/025. Bayesian optimization. Part 2.mp4
21.3 MB
006.Detector optimization/024. Bayesian optimization. Part 1.mp4
17.6 MB
006.Detector optimization/023. Gaussian processes for regression.mp4
17.5 MB
006.Detector optimization/026. Optimization examples.mp4
15.3 MB
006.Detector optimization/022. Normal distribution.mp4
14.5 MB
005.Search for Dark Matter Hints with Machine Learning at new CERN experiment/020. Looking Ahead.mp4
13.4 MB
004.Search for New Physics in Rare Decays/013. Lepton Flavour Violation.srt
16.2 kB
003.Particle identification with machine learning/011. Uniform classifiers.srt
14.0 kB
001.Introduction/002. Experimental particle physics.srt
14.0 kB
002.Detector composition/008. Calorimeters.srt
13.8 kB
004.Search for New Physics in Rare Decays/014. Classifier Constraints.srt
13.5 kB
001.Introduction/001. Introduction into the course.srt
13.3 kB
005.Search for Dark Matter Hints with Machine Learning at new CERN experiment/017. Search for Dark Matter at Accelerator Experiment.srt
12.7 kB
001.Introduction/003. Testing hypotheses experimentally.srt
12.5 kB
005.Search for Dark Matter Hints with Machine Learning at new CERN experiment/018. Getting Data Before Experiment is built.srt
11.4 kB
005.Search for Dark Matter Hints with Machine Learning at new CERN experiment/019. Going Deeper.srt
9.7 kB
002.Detector composition/005. Particle identification.srt
9.6 kB
002.Detector composition/009. Muon system.srt
9.4 kB
004.Search for New Physics in Rare Decays/012. Physics as a Game of Theories.srt
9.1 kB
006.Detector optimization/021. Detector optimization.srt
8.6 kB
002.Detector composition/006. Tracking system.srt
8.4 kB
005.Search for Dark Matter Hints with Machine Learning at new CERN experiment/016. Dark Matter.srt
8.1 kB
003.Particle identification with machine learning/010. Machine learning in particle identification.srt
7.8 kB
001.Introduction/004. Particle physics simulation.srt
7.8 kB
002.Detector composition/007. Ring Imaging Cherenkov detector.srt
7.1 kB
004.Search for New Physics in Rare Decays/015. Data vs Simulation Agreement.srt
6.7 kB
006.Detector optimization/025. Bayesian optimization. Part 2.srt
6.2 kB
006.Detector optimization/024. Bayesian optimization. Part 1.srt
5.4 kB
006.Detector optimization/023. Gaussian processes for regression.srt
5.1 kB
006.Detector optimization/022. Normal distribution.srt
4.3 kB
006.Detector optimization/026. Optimization examples.srt
4.0 kB
005.Search for Dark Matter Hints with Machine Learning at new CERN experiment/020. Looking Ahead.srt
3.6 kB
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