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种子名称：
[CourseClub.NET] Coursera - Addressing Large Hadron Collider Challenges by Machine Learning
文件类型：
视频
文件数目：
26个文件
文件大小：
850.27 MB
收录时间：
2019-5-28 00:52
已经下载：
3次
资源热度：
192
最近下载：
2024-5-9 07:07
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[CourseClub.NET] Coursera - Addressing Large Hadron Collider Challenges by Machine Learning.torrent
001.Introduction/001. Introduction into the course.mp448.31MB
001.Introduction/002. Experimental particle physics.mp452.59MB
001.Introduction/003. Testing hypotheses experimentally.mp449.03MB
001.Introduction/004. Particle physics simulation.mp430.94MB
002.Detector composition/005. Particle identification.mp435.02MB
002.Detector composition/006. Tracking system.mp428.76MB
002.Detector composition/007. Ring Imaging Cherenkov detector.mp424.47MB
002.Detector composition/008. Calorimeters.mp446.4MB
002.Detector composition/009. Muon system.mp431.4MB
003.Particle identification with machine learning/010. Machine learning in particle identification.mp426.74MB
003.Particle identification with machine learning/011. Uniform classifiers.mp446.38MB
004.Search for New Physics in Rare Decays/012. Physics as a Game of Theories.mp431.04MB
004.Search for New Physics in Rare Decays/013. Lepton Flavour Violation.mp453.88MB
004.Search for New Physics in Rare Decays/014. Classifier Constraints.mp445.47MB
004.Search for New Physics in Rare Decays/015. Data vs Simulation Agreement.mp422.4MB
005.Search for Dark Matter Hints with Machine Learning at new CERN experiment/016. Dark Matter.mp426.69MB
005.Search for Dark Matter Hints with Machine Learning at new CERN experiment/017. Search for Dark Matter at Accelerator Experiment.mp447.09MB
005.Search for Dark Matter Hints with Machine Learning at new CERN experiment/018. Getting Data Before Experiment is built.mp443.8MB
005.Search for Dark Matter Hints with Machine Learning at new CERN experiment/019. Going Deeper.mp437.61MB
005.Search for Dark Matter Hints with Machine Learning at new CERN experiment/020. Looking Ahead.mp412.79MB
006.Detector optimization/021. Detector optimization.mp427.27MB
006.Detector optimization/022. Normal distribution.mp413.84MB
006.Detector optimization/023. Gaussian processes for regression.mp416.68MB
006.Detector optimization/024. Bayesian optimization. Part 1.mp416.74MB
006.Detector optimization/025. Bayesian optimization. Part 2.mp420.33MB
006.Detector optimization/026. Optimization examples.mp414.59MB
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