Spring Reading Challenge
Genres

Mlops


Mlops Books

Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps
Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications
Introducing MLOps: How to Scale Machine Learning in the Enterprise
Practical MLOps: Operationalizing Machine Learning Models
Building Machine Learning Powered Applications: Going from Idea to Product
AI Engineering: Building Applications with Foundation Models
Reliable Machine Learning: Applying SRE Principles to ML in Production
Effective Data Science Infrastructure: How to make data scientists productive
Machine Learning Engineering in Action
Building Machine Learning Pipelines: Automating Model Life Cycles with TensorFlow
Kubeflow for Machine Learning: From Lab to Production
Designing Data-Intensive Applications
Shipping Machine Learning Systems: A Practical Guide to Building, Deploying, and Scaling in Production
Machine Learning System Design: With end-to-end examples
Implementing MLOps in the Enterprise: A Production-First Approach
More mlops books...