Introduction to Vertex AI SDK

Опубликовано 9 июля 2021, 23:00

Dry beans data set → goo.gle/2Tnw9XV
Code samples → goo.gle/3ia2hab goo.gle/3APvkbc
Build and train custom models in Vertex AI → goo.gle/3ALuigC

Wouldn’t it be useful to automate ingesting data, training models, and getting predictions? In this episode of AI Simplified, we’ll learn how to do exactly that by creating a tabular classification model using the Vertex AI Python SDK. Watch to learn when to use the console and when to use the SDK, as well as to see how we train an AutoML model. You might see some updates/changes in the console since the video was recorded.

Chapters:
0:00 - Intro
0:28 - Different options to interact with Vertex AI: UI, SDK, API, Client Libraries
1:03 - Benefits of using the Vertex AI SDK. When to use Vertex AI Client Libraries?
2:08 - Vertex AI SDK Demo summary
2:50 - Managed Jupyter Notebooks in Vertex AI
3:50 - Demo
8:56 - Summary

TFX video → goo.gle/3hvEORs

Watch more episodes of Getting Started with Vertex AI→ goo.gle/AISimplified
Subscribe to Google Cloud Tech → goo.gle/GoogleCloudTech
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product: Cloud - AI and Machine Learning - AI building blocks, Cloud - AI and Machine Learning - AI Platform Notebooks; fullname: Priyanka Vergadia; re_ty: Publish;