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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204
■
15
章
次元を扱う
15.13
議論
未知種問題は、活発に研究が進められている分野である。本章のアルゴリズムは、
新たな貢献だと私は信じる。本書の約
200
ページで、確率の基本から研究の最前線ま
で到達した。私は、満足だ。
本書の私の目標は、
3
つの関連したアイデアを提示することだ。
●
ベイズ思考（
Bayesian thinking
）：ベイズ分析の基礎は、確率分布を使って確かで
ない信念を表現し、データを使って、分布を更新し、結果を使って予測を行い決
定に必要な情報を与えるというアイデアにある。
●
計算論的方式（
computational approach
）：本書の前提は、ベイズ分析の理解に
は、コンピュータを使う方が数学を使うよりもやさしくて、実世界の問題を迅速
に解けるように、手を入れやすい再利用可能な構成要素を使ってベイズ手法を実
装するのはたやすいということである。
●
反復モデル（
iterative modeling
）：実世界の問題のほとんどは、モデル化に際する
決定と、現実性と複雑さとの間のトレードオフを含んでいる。モデルにどのよう
な要因を含むべきか、どれを抽象化によって捨象できるかということは、前もっ
て知ることができないことが多い。最良の取り組み方は、反復すること、単純な
モデルから始めて、できたモデルで検証しながら、徐々に複雑さを追加すること
である。
このような考え方は、多方面に使えて強力である。科学技術のほとんどの分野の問
題に、単純な例から現在行われている研究に至るまで、適用 ...
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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.