1. Introduction The main idea behind text mining is “turn text into numbers”. 1.1 Areas...
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ML8 - Text Mining Intro -
ML7 - Baysian models1. Bayesian Machine Learning What is Bayesian machine learning? 简单来说Bayesian Machine Le...
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ML6 - Tuning目录1 Dimension reduction 1.1 Principal Component Analysis (PCA) 1.2 Nearest Neighbors ...
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ML5 - Clustering目录0 前言1 K-means2 Hierarchical Clustering3 Gaussian Mixture Model 0 前言 Clustering是一种unsu...
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ML4 - Classification目录0 前言1 Discriminative Classifiers 1.1 Logistic Regression 1.2 Support Vector Machines...
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ML3 - Ensemble Methods目录1 什么是Ensemble Methods？2 Ensemble Methods的类别有哪些？ 2.1 Bagging (Bootstrap aggregating) ...
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ML2 - Regression目录0 前言1 Linear Model1.1 OLS(Ordinary Least Squares)1.2 Regression Shrinkage Models 1.2....
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【数据科学】基础课程列表
数学 1. 线性代数线性空间与线性映射行列式求解常见的矩阵运算特征值与特征向量广义特征值奇异值分解2. 统计学与概率论概率空间与事件独立性与条件概率贝叶斯公式随机变量与概率公...
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[R Tutorial/Chapter1] Basics
This is an article about my R Tutorial notes.Chapter 1 is the basic knowledge for manip...