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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0
1
2
3
1
1.2
機械学習と最適化の問題に
落 とし 込 む に は？
関数設定の次は、解決したい課題を機械学習と最適化の問題に落とし込む作
業になります。この落とし込み作業を行うためには、機械学習と最適化の大
枠を理解しておく必要があります。第2章での機械学習、第3章での最適化
の具体的な議論に先立ち、本節ではまず、機械学習と最適化の違いを明確に
したのち、機械学習と最適化のそれぞれの恩恵を知ることで、両者の特徴を
大まかに把握します。
機械学習と最適化の違いとは？
1.1節でのアイスクリームの売り上げの例では、「外気温からアイスクリームの
売り上げを予測する」、「アイスクリームが最も売れるように室内気温を調整す
る」といったことを行いました。実は、このようなことを行うための方法がそれ
ぞれ機械学習と最適化です。機械学習と最適化の構図を
図 1.2.1 にまとめます。
「因果関係あり、かつ、
が制御できる」場合の「室内気温とアイスクリームの関
係」の例で考えてみましょう。
毎日、室内気温とアイスクリームの売り上げを記録して、データセットを作成
しました。横軸
が室内気温、縦軸
がアイスクリームの売り上げとしてプロッ
トすると
図 1.2.1 左のようになりました。ここで私たちがまずやりたかったこと
は、アイスクリームの原料在庫管理や仕込み作業を行うための指標とするため、
室内気温によってアイスクリームの売り上げがどのように変わるかを予測するこ
とでした。これは、
の
に対する法則を見つけることに相当します。この ...
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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.