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End to End Machine Learning with Google Cloud Platform
Python 52.63%
Jupyter Notebook 38.67%
JavaScript 8.71%
end-to-end-machine-learning-with-google-cloud's Introduction
- Get the data using event driven cloud functions
- Store the data in BigQuery
- Cleanup the data using dataprep
- Run the cleanup job as a dataflow job at scale
- Launch a deep learning VM and then connect to it using SSH tunnel to access Jupyter lab
- Launch your deep learning job on CMLE and on completion, get the model as output
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