https://echo.ishian.me/tags/ml/Recent content in ml on IshianHugoenFri, 28 Nov 2025 00:00:00 +0000https://echo.ishian.me/2025/11/28/stat-unsupervise-learning/Fri, 28 Nov 2025 00:00:00 +0000https://echo.ishian.me/2025/11/28/stat-unsupervise-learning/介绍无监督学习方法：主成分分析降维及K均值与系统聚类https://echo.ishian.me/2025/11/27/stat-svm/Thu, 27 Nov 2025 00:00:00 +0000https://echo.ishian.me/2025/11/27/stat-svm/讲解支持向量机的最大间隔分类器、软间隔与核函数原理https://echo.ishian.me/2025/11/26/pytorch-dataprocess/Wed, 26 Nov 2025 00:00:00 +0000https://echo.ishian.me/2025/11/26/pytorch-dataprocess/讲解Dataset、IterableDataset与DataLoader的封装方式及采样批处理参数https://echo.ishian.me/2025/11/26/rlang-beginner/Wed, 26 Nov 2025 00:00:00 +0000https://echo.ishian.me/2025/11/26/rlang-beginner/记录R语言统计学习常用函数：线性回归、广义线性模型与预测分析https://echo.ishian.me/2025/11/25/stat-tree-models/Tue, 25 Nov 2025 00:00:00 +0000https://echo.ishian.me/2025/11/25/stat-tree-models/介绍回归树与分类树的建树剪枝方法及装袋、随机森林、提升等集成模型https://echo.ishian.me/2025/11/24/stat-nlinear-models/Mon, 24 Nov 2025 00:00:00 +0000https://echo.ishian.me/2025/11/24/stat-nlinear-models/介绍非线性回归方法：多项式回归、回归样条、光滑样条与GAMhttps://echo.ishian.me/2025/11/20/stat-estimate/Thu, 20 Nov 2025 00:00:00 +0000https://echo.ishian.me/2025/11/20/stat-estimate/讲解测试误差的估计方法：交叉验证、留一法与自助法及自举推断https://echo.ishian.me/2025/11/20/stat-var-selection/Thu, 20 Nov 2025 00:00:00 +0000https://echo.ishian.me/2025/11/20/stat-var-selection/讲解变量选择方法：子集选择、逐步回归及Lasso与Ridge压缩估计https://echo.ishian.me/2025/11/18/stat-classification/Tue, 18 Nov 2025 00:00:00 +0000https://echo.ishian.me/2025/11/18/stat-classification/整理统计学习分类方法：逻辑回归、判别分析与K近邻等分类模型https://echo.ishian.me/2025/11/17/stat-linear-regression/Mon, 17 Nov 2025 00:00:00 +0000https://echo.ishian.me/2025/11/17/stat-linear-regression/讲解简单与多元线性回归的最小二乘估计、显著性检验及模型评价指标https://echo.ishian.me/2025/07/18/deeplearning-convlayer/Fri, 18 Jul 2025 00:00:00 +0000https://echo.ishian.me/2025/07/18/deeplearning-convlayer/讲解卷积层的稀疏交互、参数共享、平移等变特性及卷积运算的具体结构https://echo.ishian.me/2025/07/15/deeplearning-fclayer/Tue, 15 Jul 2025 00:00:00 +0000https://echo.ishian.me/2025/07/15/deeplearning-fclayer/讲解全连接层的结构、前向传播与反向传播的梯度计算公式https://echo.ishian.me/2025/07/14/deeplearning-simplenn/Mon, 14 Jul 2025 00:00:00 +0000https://echo.ishian.me/2025/07/14/deeplearning-simplenn/讲解前馈神经网络的基本结构、前向传播与反向传播原理及梯度下降优化https://echo.ishian.me/2025/07/09/deeplearning-activefuncs/Wed, 09 Jul 2025 00:00:00 +0000https://echo.ishian.me/2025/07/09/deeplearning-activefuncs/讲解激活函数的作用与要求，介绍Sigmoid、Tanh、ReLU及其变体等常见激活函数https://echo.ishian.me/2025/07/06/deeplearning-lossaregular/Sun, 06 Jul 2025 00:00:00 +0000https://echo.ishian.me/2025/07/06/deeplearning-lossaregular/讲解回归与分类任务的常用损失函数及其极大似然推导，以及正则化方法https://echo.ishian.me/2025/01/15/pytorch-tensor/Wed, 15 Jan 2025 00:00:00 +0000https://echo.ishian.me/2025/01/15/pytorch-tensor/介绍Pytorch张量的属性、创建方式、维度操作及常用运算方法https://echo.ishian.me/2024/08/04/deeplearning-beginner/Sun, 04 Aug 2024 00:00:00 +0000https://echo.ishian.me/2024/08/04/deeplearning-beginner/介绍机器学习基础概念，包括模型评价标准、过拟合与欠拟合、数据集划分等