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[] Coursera - Addressing Large Hadron Collider Challenges by Machine Learning

  • 收录时间:2019-03-30 07:03:52
  • 文件大小:851MB
  • 下载次数:44
  • 最近下载:2021-01-14 02:28:25
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文件列表

  1. 004.Search for New Physics in Rare Decays/013. Lepton Flavour Violation.mp4 54MB
  2. 001.Introduction/002. Experimental particle physics.mp4 53MB
  3. 001.Introduction/003. Testing hypotheses experimentally.mp4 49MB
  4. 001.Introduction/001. Introduction into the course.mp4 48MB
  5. 005.Search for Dark Matter Hints with Machine Learning at new CERN experiment/017. Search for Dark Matter at Accelerator Experiment.mp4 47MB
  6. 002.Detector composition/008. Calorimeters.mp4 46MB
  7. 003.Particle identification with machine learning/011. Uniform classifiers.mp4 46MB
  8. 004.Search for New Physics in Rare Decays/014. Classifier Constraints.mp4 45MB
  9. 005.Search for Dark Matter Hints with Machine Learning at new CERN experiment/018. Getting Data Before Experiment is built.mp4 44MB
  10. 005.Search for Dark Matter Hints with Machine Learning at new CERN experiment/019. Going Deeper.mp4 38MB
  11. 002.Detector composition/005. Particle identification.mp4 35MB
  12. 002.Detector composition/009. Muon system.mp4 31MB
  13. 004.Search for New Physics in Rare Decays/012. Physics as a Game of Theories.mp4 31MB
  14. 001.Introduction/004. Particle physics simulation.mp4 31MB
  15. 002.Detector composition/006. Tracking system.mp4 29MB
  16. 006.Detector optimization/021. Detector optimization.mp4 27MB
  17. 003.Particle identification with machine learning/010. Machine learning in particle identification.mp4 27MB
  18. 005.Search for Dark Matter Hints with Machine Learning at new CERN experiment/016. Dark Matter.mp4 27MB
  19. 002.Detector composition/007. Ring Imaging Cherenkov detector.mp4 24MB
  20. 004.Search for New Physics in Rare Decays/015. Data vs Simulation Agreement.mp4 22MB
  21. 006.Detector optimization/025. Bayesian optimization. Part 2.mp4 20MB
  22. 006.Detector optimization/024. Bayesian optimization. Part 1.mp4 17MB
  23. 006.Detector optimization/023. Gaussian processes for regression.mp4 17MB
  24. 006.Detector optimization/026. Optimization examples.mp4 15MB
  25. 006.Detector optimization/022. Normal distribution.mp4 14MB
  26. 005.Search for Dark Matter Hints with Machine Learning at new CERN experiment/020. Looking Ahead.mp4 13MB
  27. 004.Search for New Physics in Rare Decays/013. Lepton Flavour Violation.srt 16KB
  28. 003.Particle identification with machine learning/011. Uniform classifiers.srt 14KB
  29. 001.Introduction/002. Experimental particle physics.srt 14KB
  30. 002.Detector composition/008. Calorimeters.srt 13KB
  31. 004.Search for New Physics in Rare Decays/014. Classifier Constraints.srt 13KB
  32. 001.Introduction/001. Introduction into the course.srt 13KB
  33. 005.Search for Dark Matter Hints with Machine Learning at new CERN experiment/017. Search for Dark Matter at Accelerator Experiment.srt 12KB
  34. 001.Introduction/003. Testing hypotheses experimentally.srt 12KB
  35. 005.Search for Dark Matter Hints with Machine Learning at new CERN experiment/018. Getting Data Before Experiment is built.srt 11KB
  36. 005.Search for Dark Matter Hints with Machine Learning at new CERN experiment/019. Going Deeper.srt 9KB
  37. 002.Detector composition/005. Particle identification.srt 9KB
  38. 002.Detector composition/009. Muon system.srt 9KB
  39. 004.Search for New Physics in Rare Decays/012. Physics as a Game of Theories.srt 9KB
  40. 006.Detector optimization/021. Detector optimization.srt 8KB
  41. 002.Detector composition/006. Tracking system.srt 8KB
  42. 005.Search for Dark Matter Hints with Machine Learning at new CERN experiment/016. Dark Matter.srt 8KB
  43. 003.Particle identification with machine learning/010. Machine learning in particle identification.srt 8KB
  44. 001.Introduction/004. Particle physics simulation.srt 8KB
  45. 002.Detector composition/007. Ring Imaging Cherenkov detector.srt 7KB
  46. 004.Search for New Physics in Rare Decays/015. Data vs Simulation Agreement.srt 7KB
  47. 006.Detector optimization/025. Bayesian optimization. Part 2.srt 6KB
  48. 006.Detector optimization/024. Bayesian optimization. Part 1.srt 5KB
  49. 006.Detector optimization/023. Gaussian processes for regression.srt 5KB
  50. 006.Detector optimization/022. Normal distribution.srt 4KB
  51. 006.Detector optimization/026. Optimization examples.srt 4KB
  52. 005.Search for Dark Matter Hints with Machine Learning at new CERN experiment/020. Looking Ahead.srt 4KB
  53. [FTU Forum].url 252B
  54. [FreeCoursesOnline.Me].url 133B
  55. [FreeTutorials.Us].url 119B