發(fā)簡信
IP屬地：河南
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ML8 - Text Mining Intro1. Introduction The main idea behind text mining is “turn text into numb...
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ML7 - Baysian models1. Bayesian Machine Learning What is Bayesian machine learning? 簡單來說Baye...
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ML6 - Tuning目錄1 Dimension reduction 1.1 Principal Component Analysis (PCA) 1.2 Nea...
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ML5 - Clustering目錄0 前言1 K-means2 Hierarchical Clustering3 Gaussian Mixture Model 0 前言 Cl...
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ML4 - Classification目錄0 前言1 Discriminative Classifiers 1.1 Logistic Regression 1.2 Support ...
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ML3 - Ensemble Methods目錄1 什么是Ensemble Methods？2 Ensemble Methods的類別有哪些？ 2.1 Bagging (Bootstra...
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ML2 - Regression目錄0 前言1 Linear Model1.1 OLS(Ordinary Least Squares)1.2 Regression Shrink...
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ML1 - 導論1 為什么存在Machine Learning？ Machine Learning的存在是為了解決實際的商業(yè)問題，即data mining ta...
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【數(shù)據(jù)科學】基礎課程列表
數(shù)學 1. 線性代數(shù)線性空間與線性映射行列式求解常見的矩陣運算特征值與特征向量廣義特征值奇異值分解2. 統(tǒng)計學與概率論概率空間與事件獨立性與條件...