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DM1-5章考试重点 - Coggle Diagram
DM1-5章考试重点
Canonical Classification Algorithms
Decision Trees: Definition of Decision Tree
CART: Gini Index
CART: Information Gain
CART: Evaluation
Random Forest: Ensemble Methods
Linear Models
Classification Evaluation: Confusion Matrix
Linear Regression: Regression General Formalism
Linear Regression: Least Squares
Clustering
K-means Algorithm: How to determine K
Distance Measures: Variable Influence and Weights on Clustering
Hierarchical Clustering: Dissimilarity of Clusters
Frequent Itemset Mining
Apriori Algorithm: Association Rules
FP-Tree
Convex Optimization
Convex Optimization: Gradient Descent
Convex Optimization: Evaluation of Gradient Descent
Support Vector Machines
SVM Basics: Separating Hyperplanes
Frequent Subsequence Mining
Subgraph Mining