## page was renamed from 機械学習 #pragma section-numbers off [[TableOfContents]] = 概要 = 機械学習 = 関連ライブラリ = * ["NumPy"] * ["scikit-learn"] * ["word2vec"] * ["DeepLearning"] = アルゴリズム等 = == 辞書 == * [http://hivecolor.com/id/65 tfidf、LSI、LDAの違いについて調べてみた - Hive Color] * [http://hivecolor.com/id/88 tfidf, lsi, ldaを使ったツイッターユーザーの類似度計算 - Hive Color] == SVM == * [http://qiita.com/pika_shi/items/5e59bcf69e85fdd9edb2 SVMを使いこなす!チェックポイント8つ] * [http://qiita.com/sz_dr/items/f3d6630137b184156a67 SVM(RBFカーネル)のハイパーパラメータを変えると何が起こるの?] == 不均衡データ == * [http://www.slideshare.net/sfchaos/ss-11307051 不均衡データのクラス分類] * [http://d.hatena.ne.jp/dichika/20130424/p1 Crowdsolvingに参加して7/42位だった] * SMOTE * Granular Support Vector Machines = 表示 = pd.crosstab * https://github.com/wellflat/cat-fancier/blob/master/classifier/bin/report.py * https://github.com/alxndrkalinin/mi-pred/blob/master/ML.py * http://akiniwa.hatenablog.jp/entry/2013/08/11/182756 * http://qiita.com/wellflat/items/0b6b859bb275fd4526ed = グラフ = * http://bokeh.pydata.org/en/latest/index.html * https://github.com/mwaskom/seaborn * http://nbviewer.ipython.org/github/bugra/pydata-nyc-2014/blob/master/3.%20Scikit%20Learn%20-%20Supervised%20Learning.ipynb * http://bokeh.pydata.org/en/latest/docs/gallery/cat_heatmap_chart.html * http://isaacslavitt.com/2014/10/24/spdc-lightning-talk/ * http://nbviewer.ipython.org/github/jakevdp/ESAC-stats-2014/blob/master/notebooks/05.2-Clustering-KMeans.ipynb * http://www.interaction-ipsj.org/archives/paper2013/data/Interaction2013/oral/data/pdf/13INT001.pdf = R関連 = * [https://atnd.org/events/22039 R Advent Calendar 2011] * [https://atnd.org/events/31973 R Advent Calendar 2012] * [https://atnd.org/events/45043 R Advent Calendar 2013] * [https://atnd.org/events/58648 R Advent Calendar 2014] = 用語メモ = カッパ係数 kappa、自由回答,インタビューなどの分類の信頼性,一致度 http://www.mizumot.com/stats/kappa.htm = 参考サイト = ---- CategoryTechnical