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

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[FreeCoursesOnline.Me] [Coursera] Addressing Large Hadron Collider Challenges by Machine Learning - [FCO] 001.Introduction
  • 001. Introduction into the course.mp4 (48.3 MB)
  • 001. Introduction into the course.srt (13.0 KB)
  • 002. Experimental particle physics.mp4 (52.6 MB)
  • 002. Experimental particle physics.srt (13.6 KB)
  • 003. Testing hypotheses experimentally.mp4 (49.0 MB)
  • 003. Testing hypotheses experimentally.srt (12.2 KB)
  • 004. Particle physics simulation.mp4 (30.9 MB)
  • 004. Particle physics simulation.srt (7.6 KB)
002.Detector composition
  • 005. Particle identification.mp4 (35.0 MB)
  • 005. Particle identification.srt (9.4 KB)
  • 006. Tracking system.mp4 (28.8 MB)
  • 006. Tracking system.srt (8.2 KB)
  • 007. Ring Imaging Cherenkov detector.mp4 (24.5 MB)
  • 007. Ring Imaging Cherenkov detector.srt (6.9 KB)
  • 008. Calorimeters.mp4 (46.4 MB)
  • 008. Calorimeters.srt (13.5 KB)
  • 009. Muon system.mp4 (31.4 MB)
  • 009. Muon system.srt (9.2 KB)
003.Particle identification with machine learning
  • 010. Machine learning in particle identification.mp4 (26.7 MB)
  • 010. Machine learning in particle identification.srt (7.6 KB)
  • 011. Uniform classifiers.mp4 (46.4 MB)
  • 011. Uniform classifiers.srt (13.7 KB)
004.Search for New Physics in Rare Decays
  • 012. Physics as a Game of Theories.mp4 (31.0 MB)
  • 012. Physics as a Game of Theories.srt (8.9 KB)
  • 013. Lepton Flavour Violation.mp4 (53.9 MB)
  • 013. Lepton Flavour Violation.srt (15.8 KB)
  • 014. Classifier Constraints.mp4 (45.5 MB)
  • 014. Classifier Constraints.srt (13.1 KB)
  • 015. Data vs Simulation Agreement.mp4 (22.4 MB)
  • 015. Data vs Simulation Agreement.srt (6.6 KB)
005.Search for Dark Matter Hints with Machine Learning at new CERN experiment
  • 016. Dark Matter.mp4 (26.7 MB)
  • 016. Dark Matter.srt (7.9 KB)
  • 017. Search for Dark Matter at Accelerator Experiment.mp4 (47.1 MB)
  • 017. Search for Dark Matter at Accelerator Experiment.srt (12.4 KB)
  • 018. Getting Data Before Experiment is built.mp4 (43.8 MB)
  • 018. Getting Data Before Experiment is built.srt (11.1 KB)
  • 019. Going Deeper.mp4 (37.6 MB)
  • 019. Going Deeper.srt (9.5 KB)
  • 020. Looking Ahead.mp4 (12.8 MB)
  • 020. Looking Ahead.srt (3.5 KB)
006.Detector optimization
  • 021. Detector optimization.mp4 (27.3 MB)
  • 021. Detector optimization.srt (8.4 KB)
  • 022. Normal distribution.mp4 (13.8 MB)
  • 022. Normal distribution.srt (4.2 KB)
  • 023. Gaussian processes for regression.mp4 (16.7 MB)
  • 023. Gaussian processes for regression.srt (5.0 KB)
  • 024. Bayesian optimization. Part 1.mp4 (16.7 MB)
  • 024. Bayesian optimization. Part 1.srt (5.3 KB)
  • 025. Bayesian optimization. Part 2.mp4 (20.3 MB)
  • 025. Bayesian optimization. Part 2.srt (6.1 KB)
  • 026. Optimization examples.mp4 (14.6 MB)
  • 026. Optimization examples.srt (3.9 KB)
  • Discuss.FreeTutorials.Us.html (165.7 KB)
  • FreeCoursesOnline.Me.html (108.3 KB)
  • FreeTutorials.Eu.html (102.2 KB)
  • How you can help Team-FTU.txt (0.3 KB)
  • [TGx]Downloaded from torrentgalaxy.org.txt (0.5 KB)
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Description



Instructors : Andrei Ustyuzhanin, Mikhail Hushchyn
Offered By : National Research University Higher School of Economics
Language : English
Subtitle : Included
Torrent Contains : 58 Files, 6 Folders
Course Source : https://www.coursera.org/learn/hadron-collider-machine-learning

About this Course

The Large Hadron Collider (LHC) is the largest data generation machine for the time being. It doesn’t produce the big data, the data is gigantic. Just one of the four experiments generates thousands gigabytes per second. The intensity of data flow is only going to be increased over the time. So the data processing techniques have to be quite sophisticated and unique. In this course we’ll introduce students into the main concepts of the Physics behind those data flow so the main puzzles of the Universe Physicists are seeking answers for will be much more transparent. Of course we will scrutinize the major stages of the data processing pipelines, and focus on the role of the Machine Learning techniques for such tasks as track pattern recognition, particle identification, online real-time processing (triggers) and search for very rare decays. The assignments of this course will give you opportunity to apply your skills in the search for the New Physics using advanced data analysis techniques. Upon the completion of the course you will understand both the principles of the Experimental Physics and Machine Learning much better.

About National Research University Higher School of Economics

National Research University - Higher School of Economics (HSE) is one of the top research universities in Russia. Established in 1992 to promote new research and teaching in economics and related disciplines, it now offers programs at all levels of university education across an extraordinary range of fields of study including business, sociology, cultural studies, philosophy, political science, international relations, law, Asian studies, media and communications, IT, mathematics, engineering, and more. Learn more on www.hse.ru






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

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850.9 MB
seeders:9
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[Coursera] Addressing Large Hadron Collider Challenges by Machine Learning - [FCO]

Torrent hash: D8794CC4C3ED50DF7C9E445CF85D57940103A096