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👾 my old deep learning notebooks (e.g., tensorflow examples, caffee, deep art, numpy)
.github | ||
machine_learning_examples | ||
.gitignore | ||
airflow.md | ||
deep_learning_resources.md | ||
README.md |
Machine Learning Pipelines
In this repository we cover resources for deploying Machine learning
in production environments, a task that includes data sourcing, data ingestion, data
transformation, pre-processing data for use in training, training a model, and hosting
the model.
Resources in this repository
Machine Learning Science
Machine Learning Infrastructure
External Resources
Tools & Code Samples
Lorte
MOOCs
General Pipelines
Tutorials & Articles
2019
Enterprise Solutions
- Netflix data pipeline.
- Netlix data videos.
- Yelp data pipeline.
- Gusto data pipeline.
- 500px data pipeline
- Twitter data pipeline.
- Coursera data pipeline.
- Cloudfare data pipeline.
- Pandora data pipeline.
- Heroku data pipeline.
- Zillow data pipeline.
- Airbnb data pipeline.
- Walmart data pipeline.
- Robinwood data pipeline.
- Lyft data pipeline.
- Slack data pipeline.
- Remind data pipeline.
- Wish data pipeline.
- Databrick data pipeline.