机器学习算法ridge回归

Ridge回归是一种机器学习算法，它是线性回归的一种变种。它在标准线性回归的基础上加入了一个正则化项，以防止过拟合。Ridge回归的核心思想是通过最小化代价函数来找到最优的回归系数。代价函数由两部分组成，一部分是均方误差，用来衡量预测值与实际值之间的差距；另一部分是正则化项，用来控制回归系数的大小。正则化项中的参数λ决定了正则化的程度，越大则对回归系数的限制越严格。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
- *1* [机器学习算法-线性回归、Lasso回归、Ridge回归算法python实现](https://download.csdn.net/download/LYQZDX/87921627)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v92^chatsearchT0_1"}}] [.reference_item style="max-width: 33.333333333333336%"]
- *2* [机器学习算法系列（四）- 岭回归算法（Ridge Regression Algorithm）](https://blog.csdn.net/sai_simon/article/details/122337097)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v92^chatsearchT0_1"}}] [.reference_item style="max-width: 33.333333333333336%"]
- *3* [机器学习算法系列篇9：Lasso 和 Ridge回归算法](https://blog.csdn.net/robot_learner/article/details/103942849)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v92^chatsearchT0_1"}}] [.reference_item style="max-width: 33.333333333333336%"]
[ .reference_list ]