Causal inference and causal discovery
Association, Causation
Associative Containers
set, map in STL, implement sorted data structures that can be quickly searched
Container Adaptors
queue, priority_queue, stack in STL, provide a different interface for sequential containers
Sequence Containers
vector, deque, array in STL
Multi-label and Multi-task Learning
多标签和多任务学习
python 自定义模块 ModuleNotFoundError
解决在调用自定义模块时出现的 ModuleNotFoundError 问题
python的引用传递
在项目debug时发现的自己原先没注意到的问题
Multi-view learning and Privileged Information
关于机器学习如何使用多种输入
Supervised learning
linear/logistic regression, Neural Networks, SVM
Data Domain
关于数据分布以及如何解决数据分布差异化问题
Data Sampling
数据采样与数据分布之间的关系
Linear models
PCA, FA, ICA
Singular Value Decomposition and Eigen Decomposition
SVD 和特征值分解的相关知识
Correlation and Causation
相关性和因果性
Feature Encoding
特征编码,如何把局部的特征聚合成整体的特征
Data Preprocessing and Visualization
数据预处理与数据可视化
















