Statistical Methods and Machine Learning in High Energy Physics - Project Presentation Session 2
International Centre for Theoretical Sciences via YouTube
The Fastest Way to Become a Backend Developer Online
Google, IBM & Microsoft Certificates — All in One Plan
Overview
Google, IBM & Meta Certificates — All 10,000+ Courses at 40% Off
One annual plan covers every course and certificate on Coursera. 40% off for a limited time.
Get Full Access
Attend a conference talk on project presentations in the field of Statistical Methods and Machine Learning in High Energy Physics. Explore cutting-edge research and applications of deep learning techniques in analyzing large-scale particle physics data. Gain insights into ongoing projects and collaborative efforts aimed at advancing the field through innovative machine learning approaches. Learn about the latest developments in classification, identification, and estimation strategies for high-energy physics experiments, including those at the Large Hadron Collider. Engage with experts and fellow researchers in this dynamic area of study, fostering potential collaborations and knowledge exchange.
Syllabus
Project Presentation (Session 2)
Taught by
International Centre for Theoretical Sciences