Automating machine learning lifecycle with AWS

the documentation. In this article, machine learning lifecycle can be replaced with dat

Data Acquisition

Streaming Data

Amazon Kinesis used for clickstream analytics. Image source -https://aws.amazon.com/kinesis/

Batch Data

Data Lake

Databases

AWS built in databases. Image source — https://aws.amazon.com/blogs/publicsector/purpose-built-databases-model-building-applications-cloud/

Data Processing

image source — https://makeameme.org/meme/data-increased-by

Data Cleaning and Wrangling

Data Labeling

Data Visualization

https://aws.amazon.com/quicksight/

Feature Engineering

Model Training

Hyperparameter Tuning

Model Selecting

https://aws.amazon.com/sagemaker/autopilot/

Model Tracking

Model Monitoring

Model Registry

Model Serving

Model Deployment

Workflow Manager

CI/CD

Amazon CodeCommit

Amazon CodeBuild

Source

Conclusion

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I develop machine learning models and deploy them to production using cloud services.

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