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szcf-weiya's
repositories
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01-Introduction
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02-Overview-of-Supervised-Learning
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03-Linear-Methods-for-Regression
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04-Linear-Methods-for-Classification
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05-Basis-Expansions-and-Regularization
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06-Kernel-Smoothing-Methods
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07-Model-Assessment-and-Selection
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08-Model-Inference-and-Averaging
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09-Additive-Models-Trees-and-Related-Methods
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10-Boosting-and-Additive-Trees
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11-Neural-Networks
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12-Support-Vector-Machines-and-Flexible-Discriminants
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13-Prototype-Methods-and-Nearest-Neighbors
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14-Unsupervised-Learning
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15-Random-Forests
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16-Ensemble-Learning
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17-Undirected-Graphical-Models
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18-High-Dimensional-Problems
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Preface
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assets
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book
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css
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img
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js
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notes
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references
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rmds
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tag
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.nojekyll
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CNAME
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MP_verify_0DIPOY5Jx7AWRFJF.txt
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SVD.pdf
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The Elements of Statistical Learning(8.1).pdf
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ads.txt
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eqtags.sh
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index.html
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sitemap.xml
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