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LinkedIn Learning

Data Science on Google Cloud Platform: Predictive Analytics

via LinkedIn Learning

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Overview

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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

Reviews

4.6 rating at LinkedIn Learning based on 57 ratings

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