Building Machine Learning Pipelines

O'Reilly

Building Machine Learning Pipelines: Automating Model Life Cycles with Tensorflow

O'Reilly

Machine Learning Production Systems: Engineering Machine Learning Models and Pipelines

O'Reilly

Building Machine Learning Powered Applications: Going from Idea to Product

O'Reilly

Building Machine Learning Systems With a Feature Store: Batch, Real-time, and Llm Systems

Independently published

BUILDING RELIABLE DATA PIPELINES IN MACHINE LEARNING SYSTEMS: FROM INGESTION TO DEPLOYMENT (Foundations of Intelligent Systems)

BPB Publications

Operationalizing Machine Learning Pipelines: Building Reusable and Reproducible Machine Learning Pipelines Using MLOps (English Edition)

Independently published

Data Pipelines in Machine Learning: Building End-to-End Systems for Data Ingestion, Training, Deployment, and Monitoring at Scale

Independently published

Rust programming for Machine Learning: A Practical Guide to Building High-Performance AI Systems for Safe and Fast AI Pipelines and AI Workflows ... Scalable, and Efficient Systems Development)

Building Cloud-Native Machine Learning Pipelines with Kubeflow: Orchestrating End-to-End AI Workflows, Model Training, and Serving on Kubernetes for Scalable ... Learning Operations (English Edition)

HiTeX Press

Building Production Machine Learning Pipelines with AWS SageMaker: The Complete Guide for Developers and Engineers (English Edition)