機器學習與資料採礦演算法

機器學習演算法 Machine Learning Algorithm

Pattern Discovery in Data Mining  Jiawei Han, Abel Bliss Professor

機器學習基礎（Machine Learning Foundations）

Machine learning is the study that allows computers to adaptively improve their performance with experience accumulated from the data observed. The course teaches the most fundamental algorithmic, theoretical and practical tools that any user of machine learning needs to know. [機器學習旨在讓電腦能由資料中累積的經驗來自我進步。本課程將介紹各領域中的機器學習使用者都應該知道的基礎演算法、理論及實務工具。]

Decision tree learning

Boosted Decision TreesA modern method of data analysis

Decision TreesBoosting

the predictive modelling approaches used in 

statistics, 

data mining and 

machine learning.

Machine learning and data mining
Problems[show]
Supervised learning (classification • regression) [show]
Clustering[show]
Dimensionality reduction[show]
Structured prediction[show]
Anomaly detection[show]
Neural nets[show]
Theory[show]
Machine learning venues[show]
Machine learning portal

Two Class Boosted Decision Tree



Welcome to the UC Irvine Machine Learning Repository!

machine-learning-databases

This data was extracted from the census bureau database

FNLWGT

人工智慧

• Challenge Problems for Artificial Intelligence

分類器的優劣評估

ROC曲线  ROC曲線下方的面積（英语：Area under the Curve of ROC (AUC ROC)）

AUC意味着什么   accuracy、precision、recall   

Precision and recall

The Relationship Between Precision-Recall and ROC Curve