Advanced R Programing Systems: Performance Optimization, Parallel Computing, and Machine Learning Workflows
Format:
Paperback
En stock
0.99 kg
Sí
Nuevo
Amazon
USA
- Book Description: Advanced R Programming Systems: Performance Optimization, Parallel Computing, and Machine Learning WorkflowsModern data analysis demands more than writing code that works—it requires writing code that scales, adapts, and performs efficiently under real-world workloads. Advanced R Programming Systems is your comprehensive guide to mastering performance-driven R development. It bridges the gap between everyday data analysis and advanced system-level programming, helping you harness R’s full computational power for large-scale, high-speed, and production-grade applications.This book goes far beyond syntax and introduces you to practical techniques for performance optimization, parallel computing, GPU acceleration, and workflow automation. You’ll learn how R executes code internally, how to profile and remove bottlenecks, how to integrate R with C++, Python, and Spark, and how to build reproducible, scalable pipelines for data science and machine learning. Every concept is explained clearly with authentic code examples, detailed explanations, and real-world use cases from domains like finance, genomics, and AI engineering.What you’ll learn:How R’s interpreter and memory management work—and how to write code that runs faster with less overhead.Practical performance tuning with vectorization, functional optimization, and efficient data structures.Parallel and distributed computing with parallel, foreach, future, and sparklyr.Integration with C++, Python, and cloud services for high-performance workflows.GPU acceleration using torch, tensorflow, and keras for deep learning in R.Building reproducible, containerized, and production-ready R environments using plumber, vetiver, renv, and Docker.End-to-end workflow orchestration with targets and modern CI/CD best practices.Whether you’re an experienced R developer, a data scientist looking to scale computations, or an engineer transitioning R models into production, this book equips you with the technical depth and practical clarity to do it right.Why this book stands out:Written in a conversational yet professional tone that connects with both beginners and advanced readers.Every chapter includes real, working examples and exercises you can immediately apply.Focused on modern R—covering tools, frameworks, and hardware acceleration relevant to today’s computing environments.Master performance. Scale efficiently. Build smarter. Take your R skills to the next level and transform the way you write, optimize, and deploy analytical systems.Get your copy today—and start writing R code that doesn’t just run, but performs.
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