Archives
- Mar 28yaml
- Mar 28typing模块初探
- Sep 21认知模型
- Aug 10文本中的信息分布
- Jul 26Scala Collections
- Jul 25Data Leakage
- Jul 24正定矩阵
- Jul 23换行符
- Jul 22置信度
- Jul 19稀疏矩阵
- Jul 18Google搜索技巧
- Jul 18logzero打印日志
- Jul 17Heteroscedasticity异方差
- Jul 17tqdm进度条
- Jul 16Box Cox变换
- Jul 14Skewness and Kurtosis
- Jul 13Q统计量
- Jul 13Heavy Tailed Distribution
- Jun 03如何理解抽象概念
- Jun 02Bias和Variance
- Jun 01逻辑回归为何不用平方误差
- May 30逻辑回归求导
- May 12对比损失
- May 11熵
- Apr 21word2vec详解
- Apr 06XGBoost原理简介
- Mar 24Linear/Logistic/Softmax Regression对比
- Mar 23多分类模型
- Mar 14过拟合及解决办法
- Mar 08决策树算法
- Mar 06Random Forest OOB
- Mar 02损失函数清单
- Jan 30Pandas核心概述
- Jan 28NumPy核心概念
- Jan 02Ranking Metric
- Dec 22马尔科夫链
- Dec 20一些函数
- Dec 16ROC分析
- Dec 14指标体系设计
- Dec 12一些分布
- Dec 10混排策略
- Dec 06衰减函数
- Dec 05算法问题排查
- Sep 2513 Hazard of Overfitting
- Sep 2412 Nonlinear Transformation
- Sep 2411 Linear Models for Classification
- Sep 2310 Logistic Regression
- Sep 2309 Linear Regression
- Sep 1508 Noise and Error
- Sep 1307 The VC Dimension
- Sep 1106 Theory of Generalization
- Sep 0805 Training Versus Testing
- Sep 0804 Feasibility of Learning
- Sep 0403 Types of Learning
- Sep 0202 Learning to Answer Yes/No
- Aug 3001 The Learning Problem
- Aug 13PCA算法
- Aug 11Vim实用技巧
- Oct 10Python操作数据库
- Sep 10Python itertools模块详解
- Aug 19Python Collections模块解析
- Aug 14Python os模块实例
- Aug 10Python zip模块
- Aug 07Python正则表达式实例透析
- Jul 30Python处理Json数据
- Jul 20Python文件读写
- Jul 17Python glob匹配文件
- Jul 14Python异常处理
- Jul 10Python Logging模块
- Jul 04Python函数式编程
