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@mapami

AWS Certified AI Practitioner（AIF）対策：因数分解機・線形回帰

Posted at

因数分解機

因数分解機は、

『複数の要素間の関係性を学習し、特にレコメンデーションシステムや広告配信などでの予測』

に役立ちます。

例

  • ユーザーの好み
  • 商品の特徴

との関係を学習し、商品の評価を予測することが可能です。

線形回帰

線形回帰は、

『入力と出力の関係を線形モデルで表し、予測を行う』

ために使われます。

例

  • 売上、気温の予測

因数分解機と線形回帰は教師あり学習に分類されるアルゴリズムです。
教師ありとは、人がデータに対してラベルをつけたものです。

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