课程信息
4.7
26 个评分
4 个审阅

第 7 门课程(共 7 门)

100% 在线

立即开始,按照自己的计划学习。

可灵活调整截止日期

根据您的日程表重置截止日期。

高级

完成时间大约为22 小时

建议:5 weeks of study...

英语(English)

字幕:英语(English)

第 7 门课程(共 7 门)

100% 在线

立即开始,按照自己的计划学习。

可灵活调整截止日期

根据您的日程表重置截止日期。

高级

完成时间大约为22 小时

建议:5 weeks of study...

英语(English)

字幕:英语(English)

教学大纲 - 您将从这门课程中学到什么

1
完成时间为 4 小时

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 个视频 (总计 45 分钟), 2 个阅读材料, 1 个测验
4 个视频
Experimental particle physics13分钟
Testing hypotheses experimentally12分钟
Particle physics simulation7分钟
2 个阅读材料
Pre-course survey10分钟
Lecture slides10分钟
2
完成时间为 5 小时

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 个视频 (总计 62 分钟), 1 个阅读材料, 2 个测验
7 个视频
Tracking system7分钟
Ring Imaging Cherenkov detector6分钟
Calorimeters11分钟
Muon system8分钟
Machine learning in particle identification6分钟
Uniform classifiers12分钟
1 个阅读材料
Lecture slides10分钟
1 个练习
Particle identification quiz20分钟
3
完成时间为 7 小时

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 个视频 (总计 41 分钟), 1 个阅读材料, 1 个测验
4 个视频
Lepton Flavour Violation14分钟
Classifier Constraints12分钟
Data vs Simulation Agreement5分钟
1 个阅读材料
Lecture slides10分钟
4
完成时间为 4 小时

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 个视频 (总计 41 分钟), 1 个阅读材料, 1 个测验
5 个视频
Search for Dark Matter at Accelerator Experiment11分钟
Getting Data Before Experiment is built10分钟
Going Deeper9分钟
Looking Ahead3分钟
1 个阅读材料
Lecture slides10分钟
4.7
4 个审阅Chevron Right

热门审阅

创建者 WXOct 17th 2018

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

讲师

Avatar

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

关于 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...

关于 高级机器学习 专项课程

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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