課程信息
7,999

第 7 門課程(共 7 門)

100% 在線

立即開始,按照自己的計劃學習。

可靈活調整截止日期

根據您的日程表重置截止日期。

高級

完成時間大約為20 小時

建議:5 weeks of study...

英語(English)

字幕:英語(English)

第 7 門課程(共 7 門)

100% 在線

立即開始,按照自己的計劃學習。

可靈活調整截止日期

根據您的日程表重置截止日期。

高級

完成時間大約為20 小時

建議:5 weeks of study...

英語(English)

字幕:英語(English)

教學大綱 - 您將從這門課程中學到什麼

1
完成時間為 4 小時

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 個視頻 (總計 45 分鐘), 1 個閱讀材料, 1 個測驗
4 個視頻
Experimental particle physics13分鐘
Testing hypotheses experimentally12分鐘
Particle physics simulation7分鐘
1 個閱讀材料
Lecture slides10分鐘
2
完成時間為 5 小時

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 個視頻 (總計 62 分鐘), 1 個閱讀材料, 2 個測驗
7 個視頻
Tracking system7分鐘
Ring Imaging Cherenkov detector6分鐘
Calorimeters11分鐘
Muon system8分鐘
Machine learning in particle identification6分鐘
Uniform classifiers12分鐘
1 個閱讀材料
Lecture slides10分鐘
1 個練習
Particle identification quiz20分鐘
3
完成時間為 7 小時

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 個視頻 (總計 41 分鐘), 1 個閱讀材料, 1 個測驗
4 個視頻
Lepton Flavour Violation14分鐘
Classifier Constraints12分鐘
Data vs Simulation Agreement5分鐘
1 個閱讀材料
Lecture slides10分鐘
4
完成時間為 4 小時

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 個視頻 (總計 41 分鐘), 1 個閱讀材料, 1 個測驗
5 個視頻
Search for Dark Matter at Accelerator Experiment11分鐘
Getting Data Before Experiment is built10分鐘
Going Deeper9分鐘
Looking Ahead3分鐘
1 個閱讀材料
Lecture slides10分鐘
4.5
5 個審閱Chevron Right

熱門審閱

創建者 WXOct 17th 2018

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

講師

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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

關於 国立高等经济大学

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...

關於 高级机器学习 專項課程

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....
高级机器学习

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