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機械学習に必要な高校〜大学教養レベルの数学まとめ

Last updated at Posted at 2024-07-08

弊社(https://yeskentei.com/company/ )、( https://deams.jp/ )のオウンドメディア:スマナビング!( https://linky-juku.com/ )にて、機械学習の理解に最低限必要な中学〜高校・大学1.2年レベルまでの数学(更新中)のまとめを公開しています。
今後少しずつこのqiitaにも役立つ記事を公開していきますので、宜しくお願いします。
IMG_3996.png
ロードマップ(簡易版)↑
現在のコンテンツ
https://linky-juku.com/math-for-machinelearning-matome/
・ベクトル→線形代数
https://linky-juku.com/linear-algebra-matome/
・微分積分→解析
・場合の数と確率→ベイズ統計
・データの分析→記述統計→頻度論
・周辺知識(三角関係・指数対数関数etc,,,)

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