willzhang4a58's Personal Website

This is my individual notes, offer reference only.

Machine Learning

梯度消失

Support Vector Machine

ROC and AUC

Latent Dirichlet Allocation

Probabilistic Latent Semantic Analysis

Expectation Maximization

Naive Bayes Classifier

Feedforward Neural Network

Bias-Variance Decomposition

K-Means

Density Based Spatial Clustering of Applications with Noise

Gradient Boosting Decision Tree

Bagging and Random Forest

Decision Tree

LinUCB

Bayesian Linear Regression

Multi-Armed Bandit

Newton Method

Factorization Machine

Spherical Hashing for Large Scale KNN

word2vec

Isolation Forest

t-Distributed Stochastic Neighbor Embedding

Principal Components Analysis

Singular Value Decomposition

Logistic Regression