Serving Scikit-learn Models at Scale
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129 дней – 55147:41Опубликовано 3 августа 2018, 21:07
Scikit-learn is a great tool for building your models. When it comes time to deploy them to prediction, scale up using Google Cloud ML Engine. In this episode of AI Adventures, Yufeng shows you how to set up your own deployment pipeline with scikit-learn so you can go back to focusing on tuning your model!
Associated blog post → bit.ly/2Mg70Wi
Kaggle kernel → bit.ly/2v31tMh
Cloud ML Engine with scikit-learn quickstart → bit.ly/2Mdtszp
Watch more AI Adventures → bit.ly/AIAdventures
Subscribe to the Google Cloud Platform channel → bit.ly/GCloudPlatform
#AIAdventures
Associated blog post → bit.ly/2Mg70Wi
Kaggle kernel → bit.ly/2v31tMh
Cloud ML Engine with scikit-learn quickstart → bit.ly/2Mdtszp
Watch more AI Adventures → bit.ly/AIAdventures
Subscribe to the Google Cloud Platform channel → bit.ly/GCloudPlatform
#AIAdventures
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