Open2021/05/15にコメント追加6MLOpsの知見と資料ディープラーニング機械学習CloudMLOpsdhirooka2021/05/22に更新 GCP https://cloud.google.com/architecture/mlops-continuous-delivery-and-automation-pipelines-in-machine-learning https://cloud.google.com/architecture/architecture-for-mlops-using-tfx-kubeflow-pipelines-and-cloud-build https://qiita.com/kazunori279/items/b0a4d427b95ee785366d https://cloud.google.com/vertex-ai 返信を追加dhirooka2021/05/22に更新 書籍 https://www.oreilly.co.jp/books/9784873119472/ https://gihyo.jp/book/2021/978-4-297-11952-2 https://www.shoeisha.co.jp/book/detail/9784798169453 返信を追加dhirooka2021/05/18に更新 データ検証 https://www.tensorflow.org/tfx/data_validation/get_started https://research.google/pubs/pub47967/ https://github.com/awslabs/deequ 返信を追加dhirooka2021/05/15に更新 AWS https://aws.amazon.com/jp/blogs/news/aws-aiml-tokyo7/ https://speakerdeck.com/hariby/ml-at-loft-number-2 返信を追加dhirooka2021/05/22に更新https://engineering.mercari.com/blog/entry/ml-system-design/ 上記「AIエンジニアのための機械学習デザインパターン」の元資料 返信を追加dhirooka2021/05/15に更新https://adventar.org/calendars/5089 https://mlops.connpass.com/ 返信を追加
dhirooka2021/05/22に更新 GCP https://cloud.google.com/architecture/mlops-continuous-delivery-and-automation-pipelines-in-machine-learning https://cloud.google.com/architecture/architecture-for-mlops-using-tfx-kubeflow-pipelines-and-cloud-build https://qiita.com/kazunori279/items/b0a4d427b95ee785366d https://cloud.google.com/vertex-ai 返信を追加
dhirooka2021/05/22に更新 書籍 https://www.oreilly.co.jp/books/9784873119472/ https://gihyo.jp/book/2021/978-4-297-11952-2 https://www.shoeisha.co.jp/book/detail/9784798169453 返信を追加
dhirooka2021/05/18に更新 データ検証 https://www.tensorflow.org/tfx/data_validation/get_started https://research.google/pubs/pub47967/ https://github.com/awslabs/deequ 返信を追加
dhirooka2021/05/15に更新 AWS https://aws.amazon.com/jp/blogs/news/aws-aiml-tokyo7/ https://speakerdeck.com/hariby/ml-at-loft-number-2 返信を追加
dhirooka2021/05/22に更新https://engineering.mercari.com/blog/entry/ml-system-design/ 上記「AIエンジニアのための機械学習デザインパターン」の元資料 返信を追加
