Скачать с ютуб End-To-End: No Code - AutoML in Vertex AI for ML Operations [notebook 02a] в хорошем качестве

End-To-End: No Code - AutoML in Vertex AI for ML Operations [notebook 02a]

An end-to-end workflow completely within the Vertex AI interface in the Google Cloud Console. We will use AutoML to train a machine learning model. A walkthrough of all the steps from connecting to data sources, training a model, evaluating the final model, deploying to an online endpoint and requesting predictions from multiple clients. A few deep dives along the way! This video follows the notebook 02a - Vertex AI - AutoML in GCP Console (no code). GitHub Repository: https://github.com/statmike/vertex-ai... The Notebook followed in this video: https://github.com/statmike/vertex-ai... Timeline: 0:00 - Introduction 3:25 - Overview 5:08 - Start Walkthrough 6:38 - Create Dataset 7:40 - Discuss Types of Model for AutoML 11:12 - Select Source of Data 12:50 - Train Model with AutoML 16:35 - Q&A: What optimization objective to choose? 23:08 - Set Budget and run training 24:22 - Evaluate Model 30:43 - Deploy & Test (Endpoint) 36:32 - Review Endpoint 39:50 - Online Predictions 47:42 - Online Model Explanations 48:33 - Q&A: What are explanations? 51:35 - Review Explanations for Model 53:23 - Batch Predictions 56:56 - Q&A: When should I use the Console for AutoML? 58:43 - Wrap-up