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Data Science on Google Cloud Platform: Predictive Analytics

via LinkedIn Learning

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Overview

Learn how to use Google Cloud Platform to train and deploy machine learning models for predictive analytics.

Syllabus

Introduction

Why use predictive analytics on GCP?
Data science modules covered

1. ML Options in GCP

Cloud Dataproc
Cloud ML Engine
Cloud Natural Language
Cloud Translation
Cloud Vision
Cloud Video Intelligence
Cloud Dialogflow

2. Cloud ML Basics

Models
Model versions
Jobs
Predictive analytics process

3. Model Building with Cloud ML

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

4. Predictions in Cloud ML

Creating a deployment model
Creating a model version
Creating a prediction dataset
Running a prediction

5. Cloud ML Best Practices

Cost control
Local testing
Performance monitoring

Conclusion

Next steps

Taught by

Kumaran Ponnambalam

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