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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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.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.I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.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.
364
13 章 データサイエンスとビジネス戦略
クを作成することも考えられます（
11
章参照）。
モデリング方法
•
線形回帰法は離散値である目的変数をモデリングする方法としては不適切です。ツ
リー帰納法（
tree induction
）やロジスティック回帰法（
logistic regression
）、
k-NN
法などの分類法を用いるべきです。さまざまな方法を試して結果を比較すれば、さら
に良い方法が見つかるかもしれません（
2
章、
3
章、
4
章、
5
章、
6
章、
7
章、
8
章参
照 ）。
評価方法
•
トレーニングデータでモデルを評価することは誤りです。これまでに取り上げた交差
検証法（
cross-validation
）や段階的アプローチ（
staged approach
）などの評価方法
を用いるべきでしょう（
5
章参照）。
•
今回対象としている製品や業務の知識をもとに、この予測モデルを評価する機会はあ
るのでしょうか？データ収集の過程でおかしな点があった場合、どうなるのでしょう
か？（
7
章、
11
章、
14
章参照）
使い方
•
回帰スコアが
0.5
を超えたユーザを無作為に選出する方法は、もう少し良く考えるべ
きです。まず第一に、回帰スコアが
0.5
であることが、新バージョンへの移行確率
50%
に相当するか疑問です。第二に、
0.5
という数値に根拠が全くありません。第
3
に、今回の目的は移行してくれそうな（つまり、より期待値が大きい）ユーザを選び
出すことですから、
2
万人と言わず、最も移行してくれそうな人から順に予算の許す
限り多くのユーザにインセンティブを提供するべきでしょう（ ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
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.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
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.