Acerca de este Curso
4.9
19 calificaciones
2 revisiones
Programa Especializado
100 % en línea

100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.
Nivel avanzado

Nivel avanzado

Horas para completar

Aprox. 21 horas para completar

Sugerido: 5 weeks of study...
Idiomas disponibles

Inglés (English)

Subtítulos: Inglés (English)
Programa Especializado
100 % en línea

100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.
Nivel avanzado

Nivel avanzado

Horas para completar

Aprox. 21 horas para completar

Sugerido: 5 weeks of study...
Idiomas disponibles

Inglés (English)

Subtítulos: Inglés (English)

Programa - Qué aprenderás en este curso

Semana
1
Horas para completar
4 horas para completar

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....
Reading
4 videos (Total 45 minutos), 2 readings, 1 quiz
Video4 videos
Experimental particle physics13m
Testing hypotheses experimentally12m
Particle physics simulation7m
Reading2 lecturas
Pre-course survey10m
Lecture slides10m
Semana
2
Horas para completar
5 horas para completar

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....
Reading
7 videos (Total 62 minutos), 1 reading, 2 quizzes
Video7 videos
Tracking system7m
Ring Imaging Cherenkov detector6m
Calorimeters11m
Muon system8m
Machine learning in particle identification6m
Uniform classifiers12m
Reading1 lectura
Lecture slides10m
Quiz1 ejercicio de práctica
Particle identification quiz20m
Semana
3
Horas para completar
7 horas para completar

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....
Reading
4 videos (Total 41 minutos), 1 reading, 1 quiz
Video4 videos
Lepton Flavour Violation14m
Classifier Constraints12m
Data vs Simulation Agreement5m
Reading1 lectura
Lecture slides10m
Semana
4
Horas para completar
4 horas para completar

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....
Reading
5 videos (Total 41 minutos), 1 reading, 1 quiz
Video5 videos
Search for Dark Matter at Accelerator Experiment11m
Getting Data Before Experiment is built10m
Going Deeper9m
Looking Ahead3m
Reading1 lectura
Lecture slides10m
4.9
2 revisionesChevron Right

Principales revisiones

por WXOct 17th 2018

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

Instructores

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

Acerca de 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...

Acerca del programa especializado Advanced Machine Learning

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....
Advanced Machine Learning

Preguntas Frecuentes

  • Una vez que te inscribes para obtener un Certificado, tendrás acceso a todos los videos, cuestionarios y tareas de programación (si corresponde). Las tareas calificadas por compañeros solo pueden enviarse y revisarse una vez que haya comenzado tu sesión. Si eliges explorar el curso sin comprarlo, es posible que no puedas acceder a determinadas tareas.

  • Cuando te inscribes en un curso, obtienes acceso a todos los cursos que forman parte del Programa especializado y te darán un Certificado cuando completes el trabajo. Se añadirá tu Certificado electrónico a la página Logros. Desde allí, puedes imprimir tu Certificado o añadirlo a tu perfil de LinkedIn. Si solo quieres leer y visualizar el contenido del curso, puedes auditar el curso sin costo.

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