sqrt4kaido

<p>kaggleやコンペ、さらには実務におけるモデリングまで、今後数年は役に立ちそうな記事やスライドを雑多に垂れ流す。</p>


<h3 id="1d%E3%83%A2%E3%83%87%E3%83%AB%E5%85%A8%E8%88%AC">
<a class="header-anchor-link" href="#1d%E3%83%A2%E3%83%87%E3%83%AB%E5%85%A8%E8%88%AC" aria-hidden="true"></a> 1Dモデル全般</h3>
<p><span class="embed-block zenn-embedded zenn-embedded-card"><iframe id="zenn-embedded__fd95b04f1f982" src="https://embed.zenn.studio/card#zenn-embedded__fd95b04f1f982" data-content="https%3A%2F%2Fspeakerdeck.com%2Fyu4u%2Fkaggletexue-huxi-lie-tetanotamenoshen-ceng-xue-xi-moterinku" frameborder="0" scrolling="no" loading="lazy"></iframe></span><a href="https://speakerdeck.com/yu4u/kaggletexue-huxi-lie-tetanotamenoshen-ceng-xue-xi-moterinku" style="display:none" target="_blank" rel="nofollow noopener noreferrer">https://speakerdeck.com/yu4u/kaggletexue-huxi-lie-tetanotamenoshen-ceng-xue-xi-moterinku</a></p>


<h3 id="nn%E6%94%B9%E5%96%84%E3%83%86%E3%82%AF">
<a class="header-anchor-link" href="#nn%E6%94%B9%E5%96%84%E3%83%86%E3%82%AF" aria-hidden="true"></a> NN改善テク</h3>
<p>k_matさんのスライド(限定公開みたいなのでURLは無し)</p>


<h3 id="%E8%A8%80%E8%AA%9E%E7%89%B9%E5%BE%B4%E6%8A%BD%E5%87%BA">
<a class="header-anchor-link" href="#%E8%A8%80%E8%AA%9E%E7%89%B9%E5%BE%B4%E6%8A%BD%E5%87%BA" aria-hidden="true"></a> 言語特徴抽出</h3>
<p><span class="embed-block zenn-embedded zenn-embedded-card"><iframe id="zenn-embedded__b68771e8aeec9" src="https://embed.zenn.studio/card#zenn-embedded__b68771e8aeec9" data-content="https%3A%2F%2Fzenn.dev%2Fkoukyo1994%2Farticles%2F9b1da2482d8ba1" frameborder="0" scrolling="no" loading="lazy"></iframe></span><a href="https://zenn.dev/koukyo1994/articles/9b1da2482d8ba1" style="display:none" target="_blank">https://zenn.dev/koukyo1994/articles/9b1da2482d8ba1</a></p>


<h3 id="%E3%83%86%E3%83%BC%E3%83%96%E3%83%AB%E3%83%87%E3%83%BC%E3%82%BF%E3%83%A2%E3%83%87%E3%83%AA%E3%83%B3%E3%82%B0%E3%83%86%E3%82%AF%E3%83%8B%E3%83%83%E3%82%AF">
<a class="header-anchor-link" href="#%E3%83%86%E3%83%BC%E3%83%96%E3%83%AB%E3%83%87%E3%83%BC%E3%82%BF%E3%83%A2%E3%83%87%E3%83%AA%E3%83%B3%E3%82%B0%E3%83%86%E3%82%AF%E3%83%8B%E3%83%83%E3%82%AF" aria-hidden="true"></a> テーブルデータモデリングテクニック</h3>
<p><span class="embed-block zenn-embedded zenn-embedded-card"><iframe id="zenn-embedded__2fcc831fa3f37" src="https://embed.zenn.studio/card#zenn-embedded__2fcc831fa3f37" data-content="https%3A%2F%2Fzenn.dev%2Fcolum2131%2Farticles%2Ffffac4654e7c7c" frameborder="0" scrolling="no" loading="lazy"></iframe></span><a href="https://zenn.dev/colum2131/articles/fffac4654e7c7c" style="display:none" target="_blank">https://zenn.dev/colum2131/articles/fffac4654e7c7c</a></p>


<h3 id="%E8%87%AA%E7%84%B6%E8%A8%80%E8%AA%9E">
<a class="header-anchor-link" href="#%E8%87%AA%E7%84%B6%E8%A8%80%E8%AA%9E" aria-hidden="true"></a> 自然言語</h3>
<p><span class="embed-block zenn-embedded zenn-embedded-card"><iframe id="zenn-embedded__027b88897ce09" src="https://embed.zenn.studio/card#zenn-embedded__027b88897ce09" data-content="https%3A%2F%2Fzenn.dev%2Fnishimoto%2Farticles%2F974f2a445f9d74" frameborder="0" scrolling="no" loading="lazy"></iframe></span><a href="https://zenn.dev/nishimoto/articles/974f2a445f9d74" style="display:none" target="_blank">https://zenn.dev/nishimoto/articles/974f2a445f9d74</a></p>


<h3 id="kaggle%E3%81%A8%E3%81%A6%E3%82%82%E5%BC%B7%E3%81%84charm%E3%81%95%E3%82%93%E3%81%AE%E3%83%8E%E3%82%A6%E3%83%8F%E3%82%A6%E3%83%A1%E3%83%A2(%E7%94%BB%E5%83%8F%E3%82%B3%E3%83%B3%E3%83%9A%E5%85%A8%E8%88%AC)">
<a class="header-anchor-link" href="#kaggle%E3%81%A8%E3%81%A6%E3%82%82%E5%BC%B7%E3%81%84charm%E3%81%95%E3%82%93%E3%81%AE%E3%83%8E%E3%82%A6%E3%83%8F%E3%82%A6%E3%83%A1%E3%83%A2(%E7%94%BB%E5%83%8F%E3%82%B3%E3%83%B3%E3%83%9A%E5%85%A8%E8%88%AC)" aria-hidden="true"></a> kaggleとても強いcharmさんのノウハウメモ(画像コンペ全般)</h3>
<p><span class="embed-block zenn-embedded zenn-embedded-tweet"><iframe id="zenn-embedded__690f1fbcb6f12" src="https://embed.zenn.studio/tweet#zenn-embedded__690f1fbcb6f12" data-content="https%3A%2F%2Fx.com%2FMLBear2%2Fstatus%2F1809138236541063593" frameborder="0" scrolling="no" loading="lazy"></iframe></span><a href="https://x.com/MLBear2/status/1809138236541063593" style="display:none" target="_blank" rel="nofollow noopener noreferrer">https://x.com/MLBear2/status/1809138236541063593</a></p>
<p>元スライドは公開されてない、多分</p>
