I spent my Sunday morning reading the Distributed Machine Learning Patterns by Yuan Tang. The book, as its name implies, focuses on machine learning at scale using tools such as Tensorflow, Kubernetes, Argo, etc. That includes the following topics:
✅ Handling large dataset
✅ Approaches for training ML models with distributed machines
✅ ML workflow and operation design
✅ Building and deploying ML pipelines
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