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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022
0
1
2
3
1
1.1
何に気を付けて
関数を設定すればよいか？
問題設定の第一歩は関数の設定です。機械学習も最適化も、基本的には関数
の形で表される問題を対象とします。したがって、何を関数のパラメータと
して、何を関数の出力とするかで、その後の問題設定の方向が決まってしま
います。なお「パラメータ」は、機械学習においては内部表現（学習によっ
て値が決まる変数）を表す場合もありますが、最適化でのことを頭に入れ、
ここでは関数の入力を表します。本節ではまず、関数とパラメータについて
おさらいし、続いて、関数のパラメータと出力に因果関係があるかどうか、
関数のパラメータは制御できるかの視点から、関数とパラメータの設定につ
いて解説します。
関 数とパ ラ メータ の おさらい
「関数」は、皆さん、中学校 1 年生で習いましたね。「変数
が変数
に依存して
決まるとき、
は
の関数であると言い、
と書く」。つまり、
の変化に
応じて
も変わる、その関係を表すのが関数 で す （ 図 1.1.1）。このときの
は、最適化や機械学習の中では、様々な呼び名で呼ばれます（
：変数、決定変
数、パラメータ、入力、入力変数、説明変数、独立変数、特徴量など）。また同様
に、
と
も様々な呼び名で呼ばれます（
：出力、出力変数、目的変数、従属
変数など、
：関数、目的関数、出力関数など）。名前が異なるため、ついつい
異なるものや概念を表しているように考えてしまいますが、
は
の値を変える
もの（能動的・入力）、
は
の値に応じて変わるもの（受動的・出力）という基 ...
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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.