About this Course
최근 조회 9,265

다음의 7/7개 강좌

100% 온라인

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

탄력적인 마감일

일정에 따라 마감일을 재설정합니다.

고급 단계

완료하는 데 약 20시간 필요

권장: 5 weeks of study...

영어

자막: 영어

다음의 7/7개 강좌

100% 온라인

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

탄력적인 마감일

일정에 따라 마감일을 재설정합니다.

고급 단계

완료하는 데 약 20시간 필요

권장: 5 weeks of study...

영어

자막: 영어

강의 계획 - 이 강좌에서 배울 내용

1
완료하는 데 4시간 필요

Introduction into particle physics for data scientists

This module starts with a mild introduction into particle physics, and it explains basic notions, so you will understand the structure and the principal terms that physicists are using to describe the forces and particles that comprise the fundamental level of our universe. Also, we'll describe main stages of data collection and analysis that happens at LHC experiment. Each step is associated with specific machine learning challenges and some of which we are going to cover later. The final part of the module describes a very high-level example of data analysis that shows how simple data analysis techniques can be used for discovery of an elementary particle....
4 videos (Total 45 min), 1 reading, 1 quiz
4개의 동영상
Experimental particle physics13m
Testing hypotheses experimentally12m
Particle physics simulation7m
1개의 읽기 자료
Lecture slides10m
2
완료하는 데 5시간 필요

Particle identification

This module is about detectors in high energy physics. It describes several detector designs, different detector systems, how they work and what particle parameters they measure. Several cases in high energy physics where machine learning can be successfully applied are demonstrated....
7 videos (Total 62 min), 1 reading, 2 quizzes
7개의 동영상
Tracking system7m
Ring Imaging Cherenkov detector6m
Calorimeters11m
Muon system8m
Machine learning in particle identification6m
Uniform classifiers12m
1개의 읽기 자료
Lecture slides10m
1개 연습문제
Particle identification quiz20m
3
완료하는 데 7시간 필요

Search for New Physics in Rare Decays

In this module, we explain how new physics search can be mediated through a search for rare processes. We describe the main steps physicists have to follow to find rare decay. At first search for such phenomena may look like a perfect task for machine learning algorithms. However, there are several constraints that one have to keep in mind during training and application of a classifier....
4 videos (Total 41 min), 1 reading, 1 quiz
4개의 동영상
Lepton Flavour Violation14m
Classifier Constraints12m
Data vs Simulation Agreement5m
1개의 읽기 자료
Lecture slides10m
4
완료하는 데 4시간 필요

Search for Dark Matter Hints with Machine Learning at new CERN experiment

We start this module with explanation what Dark Matter phenomenon is about and what are the general strategies for Dark Matter search. Then we boil down the topic towards one of the CERN proposed experiments - SHiP. Given the design of the experiment, we consider the signatures that Dark Matter particles may produce. Of course, Machine Learning algorithms can be applied to discriminate such signatures from the background. We'll see how clustering algorithms can improve the signal visibility even further....
5 videos (Total 41 min), 1 reading, 1 quiz
5개의 동영상
Search for Dark Matter at Accelerator Experiment11m
Getting Data Before Experiment is built10m
Going Deeper9m
Looking Ahead3m
1개의 읽기 자료
Lecture slides10m
4.6
5개의 리뷰Chevron Right

최상위 리뷰

대학: WXOct 17th 2018

nice starting point for graduate students or senior undergraduate students who want to dig deeper in this direction

강사

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Andrei Ustyuzhanin

Head of Laboratory for Methods of Big Data Analysis
HSE Faculty of Computer Science
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Mikhail Hushchyn

Researcher at Laboratory for Methods of Big Data Analysis
HSE Faculty of Computer Science

국립 연구 고등 경제 대학 정보

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 communicamathematics, engineering, and more. Learn more on www.hse.ru...

고급 기계 학습 전문 분야 정보

This specialization gives an introduction to deep learning, reinforcement learning, natural language understanding, computer vision and Bayesian methods. Top Kaggle machine learning practitioners and CERN scientists will share their experience of solving real-world problems and help you to fill the gaps between theory and practice. Upon completion of 7 courses you will be able to apply modern machine learning methods in enterprise and understand the caveats of real-world data and settings....
고급 기계 학습

자주 묻는 질문

  • 강좌에 등록하면 바로 모든 비디오, 테스트 및 프로그래밍 과제(해당하는 경우)에 접근할 수 있습니다. 상호 첨삭 과제는 이 세션이 시작된 경우에만 제출하고 검토할 수 있습니다. 강좌를 구매하지 않고 살펴보기만 하면 특정 과제에 접근하지 못할 수 있습니다.

  • 강좌를 등록하면 전문 분야의 모든 강좌에 접근할 수 있고 강좌를 완료하면 수료증을 취득할 수 있습니다. 전자 수료증이 성취도 페이지에 추가되며 해당 페이지에서 수료증을 인쇄하거나 LinkedIn 프로필에 수료증을 추가할 수 있습니다. 강좌 내용만 읽고 살펴보려면 해당 강좌를 무료로 청강할 수 있습니다.

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