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SKU/Artículo: AMZ-B0FGW44BYK
Programming with R for AI and Data Science: A Comprehensive Guide for Modern R Programmers in AI and Data Science
Format:
Paperback
Detalles del producto
Disponibilidad:
En stock
En stock
Peso con empaque:
0.92 kg
0.92 kg
Devolución:
Sí
Sí
Condición
Nuevo
Nuevo
Producto de:
Amazon
Amazon
Viaja desde
USA
USA
Sobre este producto
- Transform raw data into actionable insights and cutting-edge AI solutions—all within the familiar R environment. Whether you’re just starting or leveling up, this book equips you to master statistical computing, machine learning, and modern AI pipelines.Book Summary Programming with R for AI and Data Science delivers a step-by-step journey from R basics to production-ready AI services. Beginning with core syntax, data structures, and visualization, you’ll build a rock-solid foundation before diving into data wrangling with the Tidyverse, statistical modeling, and introductory machine learning using caret. Rich, hands-on examples guide you through creating reproducible reports with R Markdown and crafting publication-quality graphics with ggplot2.As you progress, embark on advanced topics: time-series forecasting with tidyverts, deep learning via torch for R, and performance optimization using Rcpp and parallel computing frameworks. Discover specialty applications in bioinformatics, geospatial analysis, and cloud-native deployment—complete with industry case studies in fraud detection, demand forecasting, and predictive maintenance. Emphasis on real-world datasets, ASCII-style flowcharts, and production tips ensures you not only understand concepts but can implement them in your own projects.What’s InsideEnd-to-End Workflows: From data ingestion to model serving, learn to orchestrate pipelines with targets and deploy via plumber and vetiver.Hands-On Case Studies: Explore finance, retail, manufacturing, and media examples that demonstrate AI’s impact on key business challenges.Emerging Tools: Get up to speed on torch, DuckDB & Arrow pipelines, and AutoML within the tidymodels framework to stay ahead of the curve.Performance & Scalability: Speed up analyses with data.table, parallel futures, and C++ integration, so large-scale computations happen in seconds, not minutes.Reproducibility & Reporting: Master R Markdown, parameterized reports, and versioned model management to deliver transparent, shareable insights every time.Ready to level up your R skills and deliver AI-powered, data-driven solutions? Dive into Programming with R for AI and Data Science today—your roadmap to professional-grade analytics, machine learning, and beyond awaits!
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U$S 36,25
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