April 2025
Intermediate
240 pages
6h 56m
Japanese
Content preview from AI開発力を鍛える！機械学習と最適化による問題解決講座
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AIプロジェクトマネージャーの仕事でしょう。
図 2.2.3 物理的な考察による関数形状の見積もり（その2）
本 項 の まとめ
機械学習に必要なデータ数については、次のように、学習対象の関数の複雑さ
を考えることが大切です。
• 機械学習に必要なデータ数は、対象の関数の複雑さに強く依存し、複雑なほど
必要なデータ数は多い。
• 対象の関数の複雑さは、対象の系に対するドメイン知識によって、ある程度推
測できる場合もある。
• 逆に考え、今回のデータ数でわかる関数の最大の複雑さを見積もることも有用。
入力パラメータ数の影響は？
関数の複雑さの次は、入力パラメータ数の影響です。
図 2.2.4 に、機械学習に
必要なデータ数に対する入力パラメータ数の影響を模式的に示します。ここでの
2.2.2
2.
3.
0.
1.
067
2.2
入力パラメータ数とは、入力パラメータ
が複数の要素を持つベクトル変数であ
り、その要素数のことです。直観的には、回帰関数を形成する空間の次元数と考
えるとわかりやすいです。
図 2.2.4 のように、入力パラメータ数が1 のときは、関
数は1つの
軸に対する曲線となります。入力パラメータ数が ...
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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.