MLOps Engineering at Scale (Paperback)

MLOps Engineering at Scale (Paperback)

Machine Learning Engineering with Python - Second Edition - 2nd Edition by Andrew McMahon (Paperback)

Machine Learning Engineering with Python: Manage the lifecycle of machine learning models using MLOps with practical examples

Production Data Engineering for Machine Learning: Designing, Building, and Operating the Data Foundations of Real-World ML Systems Framework and Blueprints (Enterprise Machine Learning Operations)

Hands-On Aiops - by Navin Sabharwal & Gaurav Bhardwaj (Paperback)

Machine Learning Engineering with Python: Manage the lifecycle of machine learning models using MLOps with practical examples

Shipping Machine Learning Systems: A Practical Guide to Building, Deploying, and Scaling in Production

MLflow for Machine Learning Operations: The Complete Guide for Developers and Engineers

Architecting Data and Machine Learning Platforms - by Marco Tranquillin & Valliappa Lakshmanan & Firat Tekiner (Paperback)

Machine Learning Pipelines: A Comprehensive Guide to Building and Deploying Intelligent Systems

Building Machine Learning Powered Applications - by Emmanuel Ameisen (Paperback)

introducing mlops how to scale machine learning in the enterprise

The Lean AI Handbook: Building, Deploying, and Scaling AI for Business Value

The Ultimate AI & Computer Science Encyclopedia: Complete Guide to AI, Machine Learning, Deep Learning, LLMs, MLOps, and AI Engineering — From Foundations ... (Modern Cloud & AI Engineering Series)

MLOps Lifecycle Toolkit

Practical Machine Learning on Databricks: Seamlessly transition ML models and MLOps on Databricks (Paperback)

AI/ML For Networks, Services, and Management: Autonomous, Routing, Security, AIOps, Agentic AI, LSO, MLFO, and Design with AI/ML

Machine Learning for Oracle Database Professionals: Deploying Model-Driven Applications and Automation Pipelines

AIOps - Audiobook, by Sam Miley

Machine Learning and Artificial Intelligence with Industrial Applications: From Big Data to Small Data

The Machine Learning Solutions Architect Handbook: Create machine learning platforms to run solutions in an enterprise setting

Machine Learning in Production From Models to Prod

Machine Learning Engineering with Python - Second Edition: Manage the lifecycle of machine learning models using MLOps with practical examples

Practical MLOps: Operationalizing Machine Learning Models

Building Machine Learning Powered Applications : Going from Idea to Product

Introducing MLOps: How to Scale Machine Learning in the Enterprise

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