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TORRENT DETAILS

[FreeCoursesOnline.Me] [Coursera] Addressing Large Hadron Collider Challenges By Machine Learning - [FCO]

TORRENT SUMMARY

	Status:	All the torrents in this section have been verified by our verification system
Category:	Other
Infohash	d8794cc4c3ed50df7c9e445cf85d57940103a096
Size:	850.9 MB in 56 files
Release Date(s):	Torrent Release: 29-12-2018 by user
Swarm:	0 Seeds & 0 Peers
Vote:	No votes yet.

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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FILE LIST

Filename		Size
	001.Introduction/001. Introduction into the course.mp4	48.3 MB
	001.Introduction/001. Introduction into the course.srt	13 KB
	001.Introduction/002. Experimental particle physics.mp4	52.6 MB
	001.Introduction/002. Experimental particle physics.srt	13.6 KB
	001.Introduction/003. Testing hypotheses experimentally.mp4	49 MB
	001.Introduction/003. Testing hypotheses experimentally.srt	12.2 KB
	001.Introduction/004. Particle physics simulation.mp4	30.9 MB
	001.Introduction/004. Particle physics simulation.srt	7.6 KB
	002.Detector composition/005. Particle identification.mp4	35 MB
	002.Detector composition/005. Particle identification.srt	9.4 KB
	002.Detector composition/006. Tracking system.mp4	28.8 MB
	002.Detector composition/006. Tracking system.srt	8.2 KB
	002.Detector composition/007. Ring Imaging Cherenkov detector.mp4	24.5 MB
	002.Detector composition/007. Ring Imaging Cherenkov detector.srt	6.9 KB
	002.Detector composition/008. Calorimeters.mp4	46.4 MB
	002.Detector composition/008. Calorimeters.srt	13.5 KB
	002.Detector composition/009. Muon system.mp4	31.4 MB
	002.Detector composition/009. Muon system.srt	9.2 KB
	003.Particle identification with machine learning/010. Machine learning in particle identification.mp4	26.7 MB
	003.Particle identification with machine learning/010. Machine learning in particle identification.srt	7.6 KB
	003.Particle identification with machine learning/011. Uniform classifiers.mp4	46.4 MB
	003.Particle identification with machine learning/011. Uniform classifiers.srt	13.7 KB
	004.Search for New Physics in Rare Decays/012. Physics as a Game of Theories.mp4	31 MB
	004.Search for New Physics in Rare Decays/012. Physics as a Game of Theories.srt	8.9 KB
	004.Search for New Physics in Rare Decays/013. Lepton Flavour Violation.mp4	53.9 MB
	004.Search for New Physics in Rare Decays/013. Lepton Flavour Violation.srt	15.8 KB
	004.Search for New Physics in Rare Decays/014. Classifier Constraints.mp4	45.5 MB
	004.Search for New Physics in Rare Decays/014. Classifier Constraints.srt	13.1 KB
	004.Search for New Physics in Rare Decays/015. Data vs Simulation Agreement.mp4	22.4 MB
	004.Search for New Physics in Rare Decays/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
	005.Search for Dark Matter Hints with Machine Learning at new CERN experiment/016. Dark Matter.srt	7.9 KB
	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
	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
	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/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.mp4	37.6 MB
	005.Search for Dark Matter Hints with Machine Learning at new CERN experiment/019. Going Deeper.srt	9.5 KB
	005.Search for Dark Matter Hints with Machine Learning at new CERN experiment/020. Looking Ahead.mp4	12.8 MB
	005.Search for Dark Matter Hints with Machine Learning at new CERN experiment/020. Looking Ahead.srt	3.5 KB
	006.Detector optimization/021. Detector optimization.mp4	27.3 MB
	006.Detector optimization/021. Detector optimization.srt	8.4 KB
	006.Detector optimization/022. Normal distribution.mp4	13.8 MB
	006.Detector optimization/022. Normal distribution.srt	4.2 KB
	006.Detector optimization/023. Gaussian processes for regression.mp4	16.7 MB
	006.Detector optimization/023. Gaussian processes for regression.srt	5 KB
	006.Detector optimization/024. Bayesian optimization. Part 1.mp4	16.7 MB
	006.Detector optimization/024. Bayesian optimization. Part 1.srt	5.3 KB
	006.Detector optimization/025. Bayesian optimization. Part 2.mp4	20.3 MB
	006.Detector optimization/025. Bayesian optimization. Part 2.srt	6.1 KB
	006.Detector optimization/026. Optimization examples.mp4	14.6 MB
	006.Detector optimization/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	259 B

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