Building and training ML models with Vertex AI


Vertex AI Documentation → https://goo.gle/3fS9biW
Feature cross → https://goo.gle/3yHjwXJ
Dataset → https://goo.gle/3yLTdzo

How can you build and train ML Models with Vertex AI. When to create your own custom model and when to use AutoML? In this episode of AI Simplified, we speak to the best practices when building and training models in Vertex AI. Moreover, we’ll also demo how you can train an AutoML from scratch using this tool. Watch to learn how Vertex AI makes building and training ML models seamless!

Chapters:
0:00 – Intro
0:58 – Two options to train the model in VertexAI – AutoML & Custom
1:35 – When should you write your own model code and when should you use AutoML?
3:44 – Demo to build and train AutoML model in Vertex AI
6:22 – Model evaluation
9:25 – Deploy model to endpoint
10:05 – Prediction from the model
12:13 – Summary

Watch more episodes of Getting Started with Vertex AI→ https://goo.gle/AISimplified
Subscribe to Google Cloud Tech → https://goo.gle/GoogleCloudTech

#AISimplified

Product: Vertex AI; fullname: Priyanka Vergadia;


Duration: 00:12:36
Publisher: Google Cloud
You can watch this video also at the source.


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