Bread and Butter ML in HEP by Elham E Khoda and Aishik Ghosh

Explore the fundamental applications of Machine Learning in High Energy Physics through this comprehensive conference talk. Delve into the essential "bread and butter" techniques used in the field, presented by experts Elham E Khoda and Aishik Ghosh. Learn how ML is revolutionizing data analysis in HEP, from classification and identification to characterization and estimation strategies. Gain insights into the current state of ML in particle physics research and its crucial role in analyzing the massive datasets produced by experiments like the Large Hadron Collider. Discover the potential of ML in uncovering new physics and precisely measuring particle properties. Suitable for PhD students, postdoctoral researchers, and professionals in theoretical or experimental particle physics and astro-particle physics, this talk provides a valuable foundation for understanding and applying ML techniques in high-energy physics research.