October 2017
Intermediate to advanced
480 pages
9h 49m
Japanese
Content preview from Rではじめるデータサイエンス
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x
まえがき
データがこれよりも大きい場合には、そのビッグデータ問題が、実際にはスモールデータ問題の変
装ではないのか、注意した方がよいでしょう。データ全体は大きくても、問題を解くのに必要なデー
タは小さいことがよくあります。メモリに収まるデータの部分集合、サンプルの一部、あるいは、要
約統計量で、必要な問題に答えられることがあります。ここでの課題は、適切な小さなデータを探
すことであり、そのためには、多数の繰り返しが必要なことが多いでしょう。
別の可能性は、ビッグデータ問題が実際には、多数の小さなデータ問題だという場合です。個別
問題はいずれもメモリに収まるのですが、それが何百万もあります。例えば、データセットの各人に
適合するモデルを求めているとします。10 人から100 人の場合にはとても簡単ですが、百万人いる
と問題です。幸い、どの問題も他とは独立なので、異なるデータセットを異なるコンピュータに送る
ことができるシス
テム（HadoopかSpark）だけがあれば処理できます。本書で述べたツールを使って、
1つの部分集合の答えの出し方がわかれば、
sparklyr
,
rhipe
,
ddr
のような新たなツールを使い、デー
タセット全体の問題を解くことができます。
Python
、
Julia
、その他の言語
本書では、データサイエンスに役立つPython、Juliaその他のプログラミング言語については何も
学びません。それらのツールが良くないと考えているからではありません。むしろ、それらは役に立
ちます。実際には、ほ ...
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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.