Acerca de este Curso

13,463 vistas recientes
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Nivel avanzado
Aprox. 24 horas para completar
Inglés (English)
Subtítulos: Inglés (English), Coreano
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Nivel avanzado
Aprox. 24 horas para completar
Inglés (English)
Subtítulos: Inglés (English), Coreano

ofrecido por

Logotipo de National Research University Higher School of Economics

National Research University Higher School of Economics

Programa - Qué aprenderás en este curso

Semana
1

Semana 1

4 horas para completar

Introduction into particle physics for data scientists

4 horas para completar
5 videos (Total 46 minutos), 2 lecturas, 1 cuestionario
5 videos
Introduction into the course11m
Experimental particle physics13m
Testing hypotheses experimentally12m
Particle physics simulation7m
2 lecturas
About the University10m
Lecture slides10m
Semana
2

Semana 2

5 horas para completar

Particle identification

5 horas para completar
7 videos (Total 62 minutos), 1 lectura, 2 cuestionarios
7 videos
Tracking system7m
Ring Imaging Cherenkov detector6m
Calorimeters11m
Muon system8m
Machine learning in particle identification6m
Uniform classifiers12m
1 lectura
Lecture slides10m
1 ejercicio de práctica
Particle identification quiz30m
Semana
3

Semana 3

7 horas para completar

Search for New Physics in Rare Decays

7 horas para completar
4 videos (Total 41 minutos), 1 lectura, 1 cuestionario
4 videos
Lepton Flavour Violation14m
Classifier Constraints12m
Data vs Simulation Agreement5m
1 lectura
Lecture slides10m
Semana
4

Semana 4

4 horas para completar

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

4 horas para completar
5 videos (Total 41 minutos), 1 lectura, 1 cuestionario
5 videos
Search for Dark Matter at Accelerator Experiment11m
Getting Data Before Experiment is built10m
Going Deeper9m
Looking Ahead3m
1 lectura
Lecture slides10m

Revisiones

Principales revisiones sobre ADDRESSING LARGE HADRON COLLIDER CHALLENGES BY MACHINE LEARNING

Ver todos los comentarios

Acerca de Programa especializado: Aprendizaje automático avanzado

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....
Aprendizaje automático avanzado

Preguntas Frecuentes

  • Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:

    • The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.

    • The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

  • If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.

  • Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.

¿Tienes más preguntas? Visita el Centro de Ayuda al Alumno.