Weikai Mao

maoweikai123@outlook.com

Category: Machine Learning

Weikai Mao

Category: Machine Learning

The Curse of Dimensionality in Machine Learning

Machine Learning Concepts

Root Cause Localization: Squeeze

Root Cause Localization

Root Cause Localization: HotSpot

Root Cause Localization: iDice

Root Cause Localization: Adtributor

Intro to Transfer Learning

支持向量机（SVM）

Machine Learning Models

Factorization Machines

Stacking Methods

LIME: Explaining the Predictions of Any Classifier

Imbalanced Classification (Part 2)

Extreme Gradient Boosting (XGBoost)

Imbalanced Classification (Part 1)

Naive Bayes Classifiers

Basic Clustering: K-Means, EM and GMM

Support Vector Machines (SVMs)

Boosting Methods: AdaBoost and GBDT

Bagging and Random Forests

Decision Trees

Principal Component Analysis (PCA)

Linear Classification: LDA and LR

Linear Regression

Intro to Machine Learning: Training Models

Intro to Machine Learning: Basic Concepts