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Pages: 128, Paperback, Independently Published
Independently Published
Deep Learning with PyTorch for Developers: Building Robust Models, Data Pipelines, and Deployment Systems
Machine Learning Pipeline Engineering: From Data Ingestion and Feature Stores to Automated Deployment
Data Ingestion in Hadoop Systems: Implementing Sqoop and Flume for Scalable Pipelines
CI/CD for Machine Learning: Automating Model Development, Deployment and monitoring at Scale
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