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    <published>2022-05-24T03:17:20-04:00</published>
    <updated>2026-05-31T11:02:41-04:00</updated>
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    <title>機械学習 - SVM</title>
    <content type="html">1. サポートベクターマシン
2. 非線形SVM</content>
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      <name>Y. Yamamoto (@trycycle)</name>
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    <title>データベース06: SQL (3/3) 副問い合わせ</title>
    <content type="html">1. 副問い合わせ
2. テーブルの定義と更新

講義ノートURL
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    <title>機械学習 - K近傍法 &amp; 機械学習のお作法</title>
    <content type="html">1. K近傍法
2. 教師あり機械学習のお作法</content>
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    <published>2024-04-29T03:51:25-04:00</published>
    <updated>2026-05-17T11:02:11-04:00</updated>
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    <title>データベース05: SQL(2/3) 結合質問</title>
    <content type="html">1. 集合演算
2. 結合演算

講義ノートURL
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    <published>2024-04-27T22:31:07-04:00</published>
    <updated>2026-05-10T11:02:20-04:00</updated>
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    <title>データベース04: SQL (1/3) 単純質問 &amp; 集約演算</title>
    <content type="html">1. SQLとは？
2. Google Colaboratory
3. 単純質問
4. 集約演算

講義ノートURL
https://dbnote.hontolab.org/content/sql/01.html</content>
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    <id>tag:speakerdeck.com,2005:Talk/865233</id>
    <published>2022-04-24T06:25:26-04:00</published>
    <updated>2026-05-10T11:02:20-04:00</updated>
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    <title>機械学習 - DBSCAN</title>
    <content type="html">1. DBSCAN
2. クラスタリングの実用上の問題</content>
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    <id>tag:speakerdeck.com,2005:Talk/1361223</id>
    <published>2025-04-27T21:22:43-04:00</published>
    <updated>2026-04-26T11:01:33-04:00</updated>
    <link rel="alternate" type="text/html" href="https://speakerdeck.com/trycycle/detabesu03-guan-xi-detamoderu"/>
    <title>データベース03: 関係データモデル</title>
    <content type="html">1. 関係データモデルのデータ構造
2. 一貫性制約

講義ノートURL
https://dbnote.hontolab.org/content/relational-data-model/01.html</content>
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    <id>tag:speakerdeck.com,2005:Talk/863199</id>
    <published>2022-04-19T10:49:00-04:00</published>
    <updated>2026-04-26T11:01:32-04:00</updated>
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    <title>機械学習 - K-means &amp; 階層的クラスタリング</title>
    <content type="html">1. K-meansクラスタリング
2. 階層的クラスタリング</content>
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    <id>tag:speakerdeck.com,2005:Talk/1345095</id>
    <published>2025-03-24T21:32:58-04:00</published>
    <updated>2026-04-19T11:02:43-04:00</updated>
    <link rel="alternate" type="text/html" href="https://speakerdeck.com/trycycle/ji-jie-xue-xi-pandasru-men"/>
    <title>機械学習 - pandas入門</title>
    <content type="html"></content>
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  <entry>
    <id>tag:speakerdeck.com,2005:Talk/1172078</id>
    <published>2024-04-17T05:41:55-04:00</published>
    <updated>2026-04-19T11:02:43-04:00</updated>
    <link rel="alternate" type="text/html" href="https://speakerdeck.com/trycycle/detabesu02-detabesunogai-nian"/>
    <title>データベース02: データベースの概念</title>
    <content type="html">1. データベースとは
2. データのモデリング

講義ノートURL
https://dbnote.hontolab.org/content/concept-of-database/01.html</content>
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  <entry>
    <id>tag:speakerdeck.com,2005:Talk/856848</id>
    <published>2022-04-02T01:23:37-04:00</published>
    <updated>2026-04-19T11:02:43-04:00</updated>
    <link rel="alternate" type="text/html" href="https://speakerdeck.com/trycycle/ji-jie-xue-xi-jue-ding-mu-karahazimeruji-jie-xue-xi"/>
    <title>機械学習 - 決定木からはじめる機械学習</title>
    <content type="html">1. 決定木</content>
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  <entry>
    <id>tag:speakerdeck.com,2005:Talk/1351799</id>
    <published>2025-04-08T21:23:46-04:00</published>
    <updated>2026-04-12T21:58:23-04:00</updated>
    <link rel="alternate" type="text/html" href="https://speakerdeck.com/trycycle/ji-jie-xue-xi-shou-ye-gai-yao"/>
    <title>機械学習 - 授業概要</title>
    <content type="html"></content>
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      <name>Y. Yamamoto (@trycycle)</name>
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  <entry>
    <id>tag:speakerdeck.com,2005:Talk/1169818</id>
    <published>2024-04-10T21:49:57-04:00</published>
    <updated>2026-04-12T11:02:16-04:00</updated>
    <link rel="alternate" type="text/html" href="https://speakerdeck.com/trycycle/detabesu01-detabesuwoshi-wanaishi-jie"/>
    <title>データベース01: データベースを使わない世界</title>
    <content type="html">1. ガイダンス
2. データベースを使わない世界

講義ノートURL
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  <entry>
    <id>tag:speakerdeck.com,2005:Talk/1386117</id>
    <published>2025-06-19T02:42:36-04:00</published>
    <updated>2025-07-17T11:01:33-04:00</updated>
    <link rel="alternate" type="text/html" href="https://speakerdeck.com/trycycle/detamainingu-gurahumai-meip-miru-men"/>
    <title>データマイニング - グラフ埋め込み入門</title>
    <content type="html">1. スペクトラルクラスタリング
2. ランダムウォーク × 埋め込み
3. グラフニューラルネットワーク</content>
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      <name>Y. Yamamoto (@trycycle)</name>
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  <entry>
    <id>tag:speakerdeck.com,2005:Talk/1360135</id>
    <published>2025-04-25T02:09:36-04:00</published>
    <updated>2025-07-11T01:44:15-04:00</updated>
    <link rel="alternate" type="text/html" href="https://speakerdeck.com/trycycle/detamainingu-uebutogurahu"/>
    <title>データマイニング - ウェブとグラフ</title>
    <content type="html">1. PageRank
2. HITSアルゴリズム

講義ノート
https://graphnote.hontolab.org/content/web-and-graph.html</content>
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  <entry>
    <id>tag:speakerdeck.com,2005:Talk/1363728</id>
    <published>2025-05-02T11:51:07-04:00</published>
    <updated>2025-07-03T11:02:12-04:00</updated>
    <link rel="alternate" type="text/html" href="https://speakerdeck.com/trycycle/detamainingu-komiyuniteifa-jian"/>
    <title>データマイニング - コミュニティ発見</title>
    <content type="html">1. グラフ分割
2. リンクコミュニティ</content>
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  <entry>
    <id>tag:speakerdeck.com,2005:Talk/1351460</id>
    <published>2025-04-08T05:46:49-04:00</published>
    <updated>2025-06-26T11:01:57-04:00</updated>
    <link rel="alternate" type="text/html" href="https://speakerdeck.com/trycycle/detamainingu-nodonozhong-xin-xing"/>
    <title>データマイニング - ノードの中心性</title>
    <content type="html">1. 近接中心性
2. 次数中心性
3. 固有ベクトル中心性
4. 媒介中心性</content>
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      <name>Y. Yamamoto (@trycycle)</name>
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  <entry>
    <id>tag:speakerdeck.com,2005:Talk/1350253</id>
    <published>2025-04-04T19:35:45-04:00</published>
    <updated>2025-06-19T11:01:38-04:00</updated>
    <link rel="alternate" type="text/html" href="https://speakerdeck.com/trycycle/detamainingu-gurahugou-zao-nozhu-zhi-biao"/>
    <title>データマイニング - グラフ構造の諸指標</title>
    <content type="html">1. グラフの大きさ
2. 密度
3. 連結性
4. 次数の分布</content>
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      <name>Y. Yamamoto (@trycycle)</name>
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  </entry>
  <title>Y. Yamamoto (@trycycle) on Speaker Deck</title>
  <updated>2022-05-24T03:17:20-04:00</updated>
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