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Data Mesh: Delivering Data-Driven Value at Scale
Practical Guide to Clinical Data Management
Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python
Statistical Methods for the Social Sciences
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications
Deep Learning (Adaptive Computation and Machine Learning series)
The Manager's Path: A Guide for Tech Leaders Navigating Growth and Change
Escaping the Build Trap: How Effective Product Management Creates Real Value