Self Service ML Pipelines Using Dataprep and AutoML Tables
Offered By: Google via Google Cloud Skills Boost
Course Description
Overview
In this lab you will learn how to use Dataprep in conjunction with AutoML Tables to build and operate your machine learning pipelines.
Syllabus
- GSP912
- Overview
- Setup and requirements
- Task 1. Open Google Cloud Dataprep
- Task 2. Add target schema
- Task 3. Add parameterized input datasets
- Task 4. Define target schema
- Task 5. Target mapping in the recipe
- Task 6. Data quality rules
- Task 7. Output
- Task 8. Plans
- Task 9. Inference
- Task 10. Retrieve your Bearer token
- Task 11. Run job
- Congratulations!
Tags
Related Courses
Industrial IoT on Google CloudGoogle Cloud via Coursera Exploring and Preparing your Data with BigQuery 日本語版
Google Cloud via Coursera Industrial IoT on Google Cloud
Pluralsight Industrial IoT on Google Cloud
Pluralsight IoT in the Google Cloud
Google via Qwiklabs