July 2014
Beginner to intermediate
456 pages
11h 26m
Japanese
Content preview from 戦略的データサイエンス入門 ―ビジネスに活かすコンセプトとテクニック
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289
289
10.5 * エントロピーと IDF の関係
算し、最も類似度が高いものを選択することだけです。
このマッチングを行うために、「
6.3.2
*
その他の距離関数」で説明したコサイン類似度関
数（式
6-5
）を利用します。コサイン類似度は、一般的にはテキスト分類でドキュメント間
の距離を測定するために利用されます。
表
10-4
各ミュージシャンのテキストとクエリ「
Famous jazz saxophonist born in Kansas who
played bebop and latin.
」の類似度（類似度の降順）
ミュージシャン 類似度 ミュージシャン 類似度
チャーリー・パーカー
0.135
カウント・ベイシー
0.119
ディジー・ガレスピー
0.086
ジョン・コルトレーン
0.079
アート・テイタム
0.050
マイルス・デイヴィス
0.050
クラーク・テリー
0.047
サン・ラ
0.030
デイブ・ブルーベック
0.027
ニーナ・シモン
0.026
セロニアス・モンク
0.025
ファッツ・ウォーラー
0.020
チャールズ・ミンガス
0.019
デューク・エリントン
0.017
ベニー・グッドマン
0.016
ルイ・アームストロング
0.012
見ての通り、最も類似度の高いドキュメントは、チャーリー・パーカーに関するドキュメ
ントです。事実、彼はカンザス州生まれのサックス奏者であり、ビバップスタイルのジャズ
を演奏していました。また、彼の人物紹介で述べられているように、チャーリー・パーカー
はラテン等の他のジャンルを組み合わせた演奏を行うこともありました。 ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.