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Designing Data Products [The Data Products Series Volume One]: link.amazon/B02r6WMwM

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): link.amazon/B0aYO3g1P

The inner workings of Large Language Models — How neural networks learn language: link.amazon/B0f219fNT

Mental Models — How understanding the mind can transform the way you work and learn: link.amazon/B05oWdr8L

100 Exercises for Practicing Python: A set of exercises with different levels of complexity | Beginner - Intermediate - Advanced | Solved exercises for all levels Here: link.amazon/B04qNsiha

Python Simplified — Crash Course in Practical Programming for Beginners: Master Essential Python Skills and Start Coding Right Away Here: link.amazon/B00RIgTbd

Designing and Implementing Semantic Data Layers: link.amazon/B0ds8JIaj

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Robot-Proof — When Machines Have all the Answers, Build Better People: link.amazon/B05Y0Qgqs

“The Effect: An Introduction to Research Design and Causality” [2nd edition] is an excellent teaching text about research design, specifically concerning research that uses observational data to make a causal inference: link.amazon/B0f3yyLpC

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

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Building the Software Factory — Scaling Reliable AI Coding Practices from Individual developers to Teams: link.amazon/B0cyNnY07

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