August 2025
Intermediate to advanced
396 pages
5h 51m
Japanese
Content preview from MLOps実装ガイド ―本番運用を見据えた開発戦略
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9章高度なデータ型のためのソリューション
本章では、データ分析と解釈の複雑さに焦点を当て、時系列分析、自然言語処理（NLP）、ビデオ、画像分類の最新技術とアプローチに関する詳細を探ります。経験豊富なデータサイエンティストはもちろん、初心者にも役立つように、高度なデータ型とその複雑な問題解決における応用について包括的に論じることを目的としています。
本章では、特に時系列データに関するデータ処理とモデル選択に関連する課題と選択肢について論じます。さまざまなタイプのソリューションを探り、それぞれのトレードオフを評価し、MLOps分野における特定の考慮すべき点についても議論します。また、AWS、GCP、Hugging Face、AppleのCreateMLなど、さまざまなプラットフォームを取り上げ、そのツールやサービスを紹介します。各プラットフォームは、異なるニーズや好みに対応できる独自のツールセットとサービスを提供しており、これらのプラットフォームの利点と欠点を公平に比較することで、十分な情報に基づいた決定をサポートすることを目指します。
MLOps開発者が使用するさまざまなデータタイプを理解するには、図9-1でAppleのCreateMLインターフェースを確認してください。ここに示されているように、画像、ビデオ、モーション、音声、テキスト、表形式のカテゴリがあります。
章の終わりの方で、再度CreateMLについて触れます。
図9-1 AppleのCreateMLプロジェクトタイプ ...
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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.