September 2014
Intermediate to advanced
236 pages
4h 17m
Japanese
Content preview from Think Bayes ―プログラマのためのベイズ統計入門
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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.
186
■
15
章
次元を扱う
種の個数
図 15-2 nの事後確率分布
この結果は
n
の一様事前確率に基づいている。環境における種の個数について背景
情報があれば、異なる事前確率を選んでもよい。
15.5
最適化
この例にはかなり自信がある。未知種問題はやさしいものではないが、この解は、単
純かつ明晰で、コードの行数も驚くほど少ない（約
50
行）。
唯一、処理が遅いという問題がある。観察種が
3
つしかない例では十分だが、ヒトの
へそのデータなどサンプルによっては
100
以上の種が見つかるような例では、優れてい
るとは言えない。
以後の
3
つの節では、この解をスケールアップするために必要な最適化を示す。詳細
に入る前に、ロードマップを示す。
●
第
1
ステップは、同じデータでディリクレ分布を更新すれば、最初の
m
個のパラ
メータはすべてで同じとなることを認識することだ。唯一の相違点は、仮説的な
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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.