mirror of
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👾 my old deep learning notebooks (e.g., tensorflow examples, caffee, deep art, numpy)
.github | ||
machine_learning_examples | ||
.gitignore | ||
airflow.md | ||
data_engineering.md | ||
README.md |
Curated Machine Learning and Data Engineering
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.