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Ready to train your machine learning models at scale? Learn how to use AI Platform (Unified) to train your own custom ML models built with any framework. This session guides you through the training process from end to end, covering exploratory data analysis in a notebook, packaging your training code, running distributed training jobs, and how to use the AI Platform (Unified) hyperparameter tuning service. And it leaves you with a toolbox for scalably training your models.
View all of the sessions from the Applied ML Summit, including innovation sessions with leading data scientists, technical tutorials and panel discussions on MLOps → goo.gle/3ckHNsw
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ML200