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GitHub / AnveshaM / Enhancing-performance-of-big-data-machine-learning-models-on-Google-Cloud-Platform

The project is focused on parallelising pre-processing, measuring and machine learning in the cloud, as well as the evaluation and analysis of the cloud performance.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AnveshaM%2FEnhancing-performance-of-big-data-machine-learning-models-on-Google-Cloud-Platform

Stars: 2
Forks: 1
Open issues: 0

License: None
Language: Jupyter Notebook
Size: 8.88 MB
Dependencies parsed at: Pending

Created at: almost 3 years ago
Updated at: about 1 year ago
Pushed at: almost 3 years ago
Last synced at: about 2 months ago

Topics: cache, data-parallelism, dataproc-clusters, google-cloud-ai-platform, google-cloud-platform, google-colaboratory, keras-tensorflow, ml, model-parallelism, pyspark, rdd

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