掌握AI：大数据、深度学习与大型语言模型的演进——AutoML从基础到最先进技术
机器学习
2025-12-09 v3
摘要
本文提供了关于自动机器学习（AutoML）的全面指南，涵盖基本原理、实际实现及未来趋势。论文结构旨在帮助初学者和经验丰富的实践者，详细讨论了诸如TPOT、AutoGluon和Auto-Keras等流行的AutoML工具。也讨论了诸如神经网络架构搜索（NAS）和AutoML在深度学习中的应用等新兴主题。预计本工作将为AI和机器学习领域的持续研究与开发作出贡献。
引用
@article{arxiv.2410.09596,
title = {Mastering AI: Big Data, Deep Learning, and the Evolution of Large Language Models -- AutoML from Basics to State-of-the-Art Techniques},
author = {Pohsun Feng and Ziqian Bi and Yizhu Wen and Benji Peng and Junyu Liu and Caitlyn Heqi Yin and Tianyang Wang and Keyu Chen and Sen Zhang and Ming Li and Jiawei Xu and Ming Liu and Xuanhe Pan and Jinlang Wang and Xinyuan Song and Qian Niu},
journal= {arXiv preprint arXiv:2410.09596},
year = {2025}
}
备注
This book contains 169 pages and 5 figures