Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

Machine Learning in Theoretical and Experimental High Energy Physics

Alan Turing Institute via YouTube

Overview

Explore the evolution and impact of machine learning in high energy physics through this comprehensive lecture. Discover how machine learning techniques have been utilized in experimental high energy physics since the 1990s, leading to groundbreaking discoveries such as the Higgs boson. Gain insights into the integral role of machine learning in data acquisition and analysis workflows for high energy physics experiments. Learn about the emerging applications of machine learning tools for theoretical physicists and their potential to revolutionize the field. Understand the significant contributions machine learning is expected to make in the ongoing search for new physics, shaping the future of high energy physics research.

Syllabus

Nature Reviews Physics: Machine learning in theoretical and experimental high energy physics

Taught by

Alan Turing Institute

Reviews

Start your review of Machine Learning in Theoretical and Experimental High Energy Physics

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.