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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146
0
1
2
3
3
3.1
最適化で何ができるか？
第3 章に入り、本節からは最適化を学んでいきます。最適化については、す
でに1.2節で「最適化と機械学習の違い」「なぜ最適化をするのか」を見まし
たが、本節では最適化の復習をします。まず、どのような場合に最適化する
べきかを考え、次いで、最適化アルゴリズムと、最適化における次元の呪い
を見ていきます。
どのような場合に最適化するべきか？
1.2節で示した機械学習と最適化の関係を表す
図 1.2.6 を、図 3.1.1 に再掲しま
す。ある条件
で実験をしたときの結果が
であるとき、機械学習はこの
と
の
関係
をモデル化することでした。入力パラメータ
に対して出力
を予測す
る機械学習は、条件に対して結果を求める順問題を解く方法でした。一方、実際
3.1.1
入力 出力
図 3.1.1 機械学習と最適化の関係（図1.2.6の再掲）
2.
3.
0.
1.
147
3.1
の応用では所望の結果
を得るための条件
を知りたい場合も多く、これは結果
から条件
を求める逆問題に対応します。この逆問題を解くための方法の1つ
が最適化です。逆問題を解く方法には他に、解析的に逆関数を求める、逆問題の
入出力をモデル化するなどの方法もありますが、本書では実用的に最も利用され ...
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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.