Manage a production ML pipeline with TFX
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16.1
Google Cloud Platform1.18 млн
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16.04.21 – 3 0697:44Популярные
179 дней – 26229:55
179 дней – 61810:01Опубликовано 16 апреля 2021, 16:00
TFX on Cloud AI Platform Pipelines→ goo.gle/3s8OUd3
In this episode of AI Adventures, we will cover how to manage a production machine learning pipeline using TFX. This video showcases how to solve a binary classification problem using a dataset from BigQuery and then tests the results in Kubeflow.
Chapters:
0:00 - Intro
0:48 - High-level architecture
1:03 - Demo in AI Platform
1:38 - Demo in Jupyter Notebook
6:03 - using BigQuery as data source
6:55 - Recap
Check out the rest of the AI Adventures playlist → goo.gl/UC5usG
Subscribe to Google Cloud Tech → goo.gle/GoogleCloudTech
Product: TFX; fullname: Priyanka Vergadia;
#AIAdventures
In this episode of AI Adventures, we will cover how to manage a production machine learning pipeline using TFX. This video showcases how to solve a binary classification problem using a dataset from BigQuery and then tests the results in Kubeflow.
Chapters:
0:00 - Intro
0:48 - High-level architecture
1:03 - Demo in AI Platform
1:38 - Demo in Jupyter Notebook
6:03 - using BigQuery as data source
6:55 - Recap
Check out the rest of the AI Adventures playlist → goo.gl/UC5usG
Subscribe to Google Cloud Tech → goo.gle/GoogleCloudTech
Product: TFX; fullname: Priyanka Vergadia;
#AIAdventures
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