Review best practices for controlling costs on GCP in this video.
- [Instructor] While running Machine Learning…with Google Cloud Platform provides…unlimited scalability and performance, it comes at a cost.…GCP resources are built based on usage…for both training and predictions.…Enthusiastic engineers might be running…a number of model trials,…but they can quickly run up the bill.…So, how best to optimize cost?…Choose a type of machine or TPU based on the work involved.…
Real-time predictions might need faster response times,…and hence better resources.…Online predictions, where the prediction function…is called for every input record,…is much for expensive than doing batch predictions,…where a list of import records are provided.…Plan for resource usage, and monitor them appropriately.…Every model in GCP provides performance metrics,…so monitor them periodically,…and carefully optimize as far as costs.…
When trials and model building need to be done,…try to do them on local resources,…like your laptop or just a compute engine.…Expand the size of training and test datasets…only after confident results are obtained…
Author
Released
11/7/2018- Evaluating the machine learning tools in GCP
- Understanding the predictive analytics process
- Building models
- Training models with jobs
- Building and running predictions
- Best practices for cost control, testing, and performance monitoring
Skill Level Intermediate
Duration
Views
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Introduction
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1. ML Options in GCP
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Cloud Dataproc56s
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Cloud ML Engine1m 37s
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Cloud Natural Language1m 20s
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Cloud Translation1m 17s
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Cloud Vision1m 18s
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Cloud Video Intelligence1m 2s
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Cloud Dialogflow1m 14s
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2. Cloud ML Basics
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Models56s
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Model versions41s
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Jobs56s
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Predictive analytics process1m 55s
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3. Model Building with Cloud ML
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Understanding input data1m 30s
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Build and test model locally1m 53s
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Modify code to work with GCP1m 42s
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Creating a training package1m 21s
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Training using jobs3m 49s
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4. Predictions in Cloud ML
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Creating a model version2m 10s
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Running a prediction1m 37s
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5. Cloud ML Best Practices
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Cost control1m 17s
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Local testing1m 12s
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Performance monitoring1m 35s
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Conclusion
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Next steps41s
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Video: Cost control