Support Vector Machine(SVM) Common Dimension Reduction Methods Evaluation for Clustering Model K-Means and GMM Decision Tree and Ensemble Models Linear Regression and Generalized Linear Model Bayesian Model in Machine Learning Sampling Methods for Machine Learning Encoding Methods for Categorical Variable Normality Test and Distribution Type Transformation More...

Basics of Markov Chain Basics of Linear Algebra Expectation Maximization Algorithm(EM) Probability Density Estimation Probability Graphical Model Basic of Probability Theory for Data Science Common Distribution Types 面试中的贝叶斯推断问题 Information Theory in ML Basic Statistics for Data Science

A/B Testing: Experiment Sensitivity Improvement Analytics: Models and Framework Case Interview: Measure Success A/B Testing: Results Analysis Case Interview: Metrics Diagnosis Basic Procedure of A/B Testing Hypothesis Testing

Synthetic Control Method Difference-in-differences Method Propensity Score Matching Structural Causal Model Potential Outcome Framework Introduction of Causal Inference

Basics of Data Modeling 笔试中较难SQL考题总结 MySQL 基础知识 MongoDB Guildbook