Smart Analytics, Machine Learning, and AI on Google Cloud
Incorporating machine learning into data pipelines increases the ability to extract insights from data. This course covers ways machine learning can be included in data pipelines on Google Cloud. For little to no customization, this course covers AutoML. For more tailored machine learning capabilities, this course introduces Notebooks and BigQuery machine learning (BigQuery ML). Also, this course covers how to productionalize machine learning solutions by using Vertex AI.
What you'll learn
Incorporating machine learning into data pipelines increases the ability to extract insights from data. This course covers ways machine learning can be included in data pipelines on Google Cloud. For little to no customization, this course covers AutoML. For more tailored machine learning capabilities, this course introduces Notebooks and BigQuery machine learning (BigQuery ML). Also, this course covers how to productionalize machine learning solutions by using Vertex AI.
Table of contents
- Module introduction 1m
- BigQuery ML for Quick Model Building 4m
- Supported models 7m
- Lab Intro: Predict Bike Trip Duration with a Regression Model in BigQuery ML 0m
- Lab: Predict Bike Trip Duration with a Regression Model in BQML 2.5 0m
- Lab Intro: Movie Recommendations in BigQuery ML 0m
- Lab: Movie Recommendations in BigQuery ML 2.5 0m
- Summary 0m
