Overview
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Learn how to use Google Cloud Platform to train and deploy machine learning models for predictive analytics.
Syllabus
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Introduction
- Why use predictive analytics on GCP?
- Data science modules covered
- Cloud Dataproc
- Cloud ML Engine
- Cloud Natural Language
- Cloud Translation
- Cloud Vision
- Cloud Video Intelligence
- Cloud Dialogflow
- Models
- Model versions
- Jobs
- Predictive analytics process
- Understanding input data
- Build and test model locally
- Upload files to Cloud Storage
- Modify code to work with GCP
- Creating a training package
- Running training synchronously
- Training using jobs
- Creating a deployment model
- Creating a model version
- Creating a prediction dataset
- Running a prediction
- Cost control
- Local testing
- Performance monitoring
- Next steps
