April 2014
Intermediate to advanced
236 pages
4h 26m
Japanese
Content preview from アジャイルデータサイエンス ―スケーラブルに構築するビッグデータアプリケーション
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172
9 章 アクションの促進
db.token_reply_rates.ensureIndex({token: 1})
db.token_reply_rates.findOne({token:'public'})
{
"_id" : ObjectId("511700c330048b60597e7c04"),
"token" : "public",
"reply_rate" : 0.6969366812896153
}
db.token_no_reply_rates.findOne({'token': 'public'})
{
"_id" : ObjectId("518444d83004f7fadcb48b51"),
"token" : "public",
"reply_rate" : 0.4978798266965859
}
次のステップでは、これらの確率を利用してリアルタイムに予測を行います！
9.5
リアルタイムの
過去を分析してトレンドを理解することで、未来についての情報を得ることができ
ます。このデータを使って、リアルタイムに予測を行うことができます。このセク
ションでは、予測結果のデータを共に利用し、
HTTP
リクエストに対してリアルタ
イムで反応を返す予測を行います。
ch09/classify.py
を参照してください。これは簡単な
Web
アプリケーションで、
from
のメールアドレス、
to
のメールアドレス、そしてメッセージのボディという
3
つの引数を取り、そのメールに対して返信が来るかどうかを返します。 ...
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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.