理解回归预测收藏这部分内容有帮助吗？
有帮助报告问题标记为完成参考文献
An Introduction to Statistical Learning with Applications in R, Gareth James, Daniela Witten, Trevor Hastie, Rob Tibshirani, 2021 (Springer) DOI: 10.1007/978-1-0716-1819-3 - 一本广泛使用的统计学习入门教材，涵盖线性回归、预测和残差。Pattern Recognition and Machine Learning, Christopher M. Bishop, 2006 (Springer) DOI: 10.1007/b139386 - 一本关于机器学习的经典教材，详细讨论了回归模型和预测误差。Lecture Notes for CS229: Machine Learning (Notes 1), Andrew Ng, Tengyu Ma (updates), 2018 (Stanford University) - 来自一门有影响力的大学课程的讲义，清晰地解释了回归、预测和误差的概念。Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, Aurélien Géron, 2022 (O'Reilly Media) - 一本实用的机器学习指南，通过代码示例清晰地解释了回归概念，包括预测和误差。© 2025 ApX Machine LearningEngineered with