September 2021
Intermediate to advanced
392 pages
6h 8m
Japanese
Content preview from 入門 機械学習パイプライン ―TensorFlowで学ぶワークフローの自動化
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付録BGoogle Cloud上でKubernetesクラスタのセットアップ
本付録では、Google CloudにKubernetesクラスタを作成する方法を説明し、サンプルプロジェクトを実行できるようにします。Kubernetesを初めて使用する場合は「付録A 機械学習のためのインフラ入門」と、「9章 TensorFlow Servingを使った高度なモデルデプロイ」の最後に載せている推薦図書をご覧ください。本付録で説明するコマンドそのものはGoogle Cloudのみに有効です。しかし、全体的なセットアップのプロセスは、AWS EKSやMicrosoft AzureのAKSなどの他のマネージドKubernetesサービスでも同様です。
B.1 始める前に
以降のインストール手順では、Google Cloudのアカウントを持っていることを前提とします。アカウントをお持ちでない場合は、アカウントを作成してください（https://oreil.ly/TFM-4）。さらに、ローカルコンピュータにKubernetesのkubectl（クライアントバージョン1.18.2以降）がインストールされており、Google CloudのSDKであるgcloud（バージョン289.0.0以降）も実行できることを前提とします。
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クラウドのインフラコストの監視 Kubernetesクラスタを運用すると、かなりのインフラコストを課金される可能性があります。したがって、請求アラートと予算を設定して、インフラのコストを監視することを強く推奨します。詳細については、Google ... |
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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.
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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.