As the first blockchain platform to introduce the concept of smart contracts, Ethereum is the gateway to a worldwide decentralized computing paradigm.... Læs mere
Author Jim Dowling introduces fundamental MLOps principles and practices for developing and operating reliable ML systems and describes the key data platform that you'll use to build and operate your ML systems: the feature store.
Authored by Chris Fregly, a performance-focused engineering and product leader, this resource transforms complex AI systems into streamlined, high-impact AI solutions.... Læs mere
In Crafting Engineering Strategy, Will Larson (author of An Elegant Puzzle and Staff Engineer) offers a practical, example-rich guide to navigating technical and organizational complexity through structured, intentional strategy.
This study guide is your essential resource for mastering foundational AI concepts and AWS tools while preparing for the AIF-C01... Læs mere
In the world of software development, distributed systems have proven essential yet remain complex. In this insightful... Læs mere
Michael Lopp, a senior leader at companies such as Slack, Pinterest, and Apple, brings the day-to-day reality of senior leadership... Læs mere
Dr. Baihan Lin offers a comprehensive exploration of privacy-preserving and security techniques like differential privacy, federated learning, and homomorphic encryption, applied specifically to LLMs.
This practical guide covers the relevant offensive and defensive security techniques to audit and... Læs mere
Authors Holden Karau, Rachel Warren, and Anya Bida walk you through the secrets of the Spark code base, and demonstrate performance optimizations that will help your data pipelines run faster, scale to larger datasets, and avoid costly antipatterns.
Authors Henning Schwentner and Carola Lilienthal guide software architects, technical leads, and senior engineers through practical, incremental strategies to evolve legacy systems without the disruption of a full rewrite.
Stuck in a coding conundrum? In this updated third edition, Bill Lubanovic acts as your personal guide to Python, offering a clear path through the intricacies and capabilities of this much-beloved coding language, including new chapters on AI models and performance enhancements.