[CourseClub.NET] Coursera - Addressing Large Hadron Collider Challenges by Machine Learning
File List
- 004.Search for New Physics in Rare Decays/013. Lepton Flavour Violation.mp4 53.9 MB
- 001.Introduction/002. Experimental particle physics.mp4 52.6 MB
- 001.Introduction/003. Testing hypotheses experimentally.mp4 49.0 MB
- 001.Introduction/001. Introduction into the course.mp4 48.3 MB
- 005.Search for Dark Matter Hints with Machine Learning at new CERN experiment/017. Search for Dark Matter at Accelerator Experiment.mp4 47.1 MB
- 002.Detector composition/008. Calorimeters.mp4 46.4 MB
- 003.Particle identification with machine learning/011. Uniform classifiers.mp4 46.4 MB
- 004.Search for New Physics in Rare Decays/014. Classifier Constraints.mp4 45.5 MB
- 005.Search for Dark Matter Hints with Machine Learning at new CERN experiment/018. Getting Data Before Experiment is built.mp4 43.8 MB
- 005.Search for Dark Matter Hints with Machine Learning at new CERN experiment/019. Going Deeper.mp4 37.6 MB
- 002.Detector composition/005. Particle identification.mp4 35.0 MB
- 002.Detector composition/009. Muon system.mp4 31.4 MB
- 004.Search for New Physics in Rare Decays/012. Physics as a Game of Theories.mp4 31.0 MB
- 001.Introduction/004. Particle physics simulation.mp4 30.9 MB
- 002.Detector composition/006. Tracking system.mp4 28.8 MB
- 006.Detector optimization/021. Detector optimization.mp4 27.3 MB
- 003.Particle identification with machine learning/010. Machine learning in particle identification.mp4 26.7 MB
- 005.Search for Dark Matter Hints with Machine Learning at new CERN experiment/016. Dark Matter.mp4 26.7 MB
- 002.Detector composition/007. Ring Imaging Cherenkov detector.mp4 24.5 MB
- 004.Search for New Physics in Rare Decays/015. Data vs Simulation Agreement.mp4 22.4 MB
- 006.Detector optimization/025. Bayesian optimization. Part 2.mp4 20.3 MB
- 006.Detector optimization/024. Bayesian optimization. Part 1.mp4 16.7 MB
- 006.Detector optimization/023. Gaussian processes for regression.mp4 16.7 MB
- 006.Detector optimization/026. Optimization examples.mp4 14.6 MB
- 006.Detector optimization/022. Normal distribution.mp4 13.8 MB
- 005.Search for Dark Matter Hints with Machine Learning at new CERN experiment/020. Looking Ahead.mp4 12.8 MB
- 004.Search for New Physics in Rare Decays/013. Lepton Flavour Violation.srt 15.8 KB
- 003.Particle identification with machine learning/011. Uniform classifiers.srt 13.7 KB
- 001.Introduction/002. Experimental particle physics.srt 13.6 KB
- 002.Detector composition/008. Calorimeters.srt 13.5 KB
- 004.Search for New Physics in Rare Decays/014. Classifier Constraints.srt 13.1 KB
- 001.Introduction/001. Introduction into the course.srt 13.0 KB
- 005.Search for Dark Matter Hints with Machine Learning at new CERN experiment/017. Search for Dark Matter at Accelerator Experiment.srt 12.4 KB
- 001.Introduction/003. Testing hypotheses experimentally.srt 12.2 KB
- 005.Search for Dark Matter Hints with Machine Learning at new CERN experiment/018. Getting Data Before Experiment is built.srt 11.1 KB
- 005.Search for Dark Matter Hints with Machine Learning at new CERN experiment/019. Going Deeper.srt 9.5 KB
- 002.Detector composition/005. Particle identification.srt 9.4 KB
- 002.Detector composition/009. Muon system.srt 9.2 KB
- 004.Search for New Physics in Rare Decays/012. Physics as a Game of Theories.srt 8.9 KB
- 006.Detector optimization/021. Detector optimization.srt 8.4 KB
- 002.Detector composition/006. Tracking system.srt 8.2 KB
- 005.Search for Dark Matter Hints with Machine Learning at new CERN experiment/016. Dark Matter.srt 7.9 KB
- 003.Particle identification with machine learning/010. Machine learning in particle identification.srt 7.6 KB
- 001.Introduction/004. Particle physics simulation.srt 7.6 KB
- 002.Detector composition/007. Ring Imaging Cherenkov detector.srt 6.9 KB
- 004.Search for New Physics in Rare Decays/015. Data vs Simulation Agreement.srt 6.6 KB
- 006.Detector optimization/025. Bayesian optimization. Part 2.srt 6.1 KB
- 006.Detector optimization/024. Bayesian optimization. Part 1.srt 5.3 KB
- 006.Detector optimization/023. Gaussian processes for regression.srt 5.0 KB
- 006.Detector optimization/022. Normal distribution.srt 4.2 KB
- 006.Detector optimization/026. Optimization examples.srt 3.9 KB
- 005.Search for Dark Matter Hints with Machine Learning at new CERN experiment/020. Looking Ahead.srt 3.5 KB
- [FCS Forum].url 133 bytes
- [FreeCourseSite.com].url 127 bytes
- [CourseClub.NET].url 123 bytes
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