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): https://
link.amazon/B0aYO3g1P
@kirkdborne
-

Guide Designs Production Data Foundations for Machine Learning Systems
By
–
-

Book Explains How Neural Networks Learn Language
By
–
The inner workings of Large Language Models — How neural networks learn language: https://
link.amazon/B0f219fNT -

LLM Evaluation Guide Focuses on Production Reliability Across Training and Inference
By
–
Practical LLM Evaluation for Production Systems — Measure, monitor, and improve AI system reliability across training and inference https://
link.amazon/B0iPyNtoX from @PacktPublishing @PacktDataML -

Graph Machine Learning Guide Covers GNNs and PyTorch Geometric
By
–
Graph Machine Learning Essentials — Foundations, Hands-On Implementation, Graph Neural Networks, PyTorch Geometric, and Applied Use Cases: https://
link.amazon/B0ipKYmke -

PyTorch Time Series Book Applies Deep Learning to Forecasting
By
–
🌟🌟🌟🌟🌟
"Time Series with PyTorch: Modern Deep Learning Toolkit for Real-World Forecasting Challenges", available at https://
amzn.to/4dIuem4 via @PacktPublishing @PacktDataML -

Siri AI Visual Guide Explores Tasks Across Apple Devices
By
–
Siri AI Visual Bible — A step-by-step, screenshot-by-screenshot guide to getting things done across your Apple devices: https://
link.amazon/B0cuPdkrw -

Claude Architect Study Guide Covers Production Scenarios and Architectural Judgment
By
–
The Claude Certified Architect Study Guide — Prepare for CCAR-F and CCAR-P with production scenarios and architectural judgement: https://
link.amazon/B0ipiV8yl -

Software Factory Book Addresses Reliable Team Based AI Coding
By
–
Building the Software Factory — Scaling Reliable AI Coding Practices from Individual developers to Teams: https://
link.amazon/B0cyNnY07 -

Guide Explores Design and Evaluation Patterns for Multiagent Systems
By
–
Architecting Multi-Agent Systems — Design Patterns, Evaluation, and Production Practices for Enterprise Agentic Workflows: https://
link.amazon/B00RDpQi2 via @PacktPublishing -

Agentic AI Engineering Covers Secure Production Agents, MCP and A2A
By
–
Agentic AI Engineering — Build, secure, and operate production-grade AI agents with durable patterns, MCP, and A2A: https://
link.amazon/B09SPWiPB via @PacktPublishing