arXiv Open Access 2025

Machine Learning

Javier M. Duarte Uros Seljak Kazu Terao

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Abstrak

This chapter gives an overview of the core concepts of machine learning (ML) -- the use of algorithms that learn from data, identify patterns, and make predictions or decisions without being explicitly programmed -- that are relevant to particle physics with some examples of applications to the energy, intensity, cosmic, and accelerator frontiers.

Topik & Kata Kunci

physics.data-an hep-ex hep-ph hep-th

Penulis (3)

Javier M. Duarte

Uros Seljak

Kazu Terao

Format Sitasi

APA MLA BibTeX

Duarte, J.M., Seljak, U., Terao, K. (2025). Machine Learning. https://arxiv.org/abs/2512.11133

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Informasi Jurnal

Tahun Terbit: 2025
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓