Isbn: 9798196772931 - r programming with ai: a complete beginner's guide to r programming, data science, machine learning, and ai applications (3 Ergebnisse)

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  • Sprache: Englisch

    Verlag: Independently Published, 2026

    9798196772931

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  • Sprache: Englisch

    Verlag: Independently Published, 2026

    9798196772931

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  • Sprache: Englisch

    Verlag: Amazon Digital Services LLC - Kdp Mai 2026, 2026

    9798196772931

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    Taschenbuch. Zustand: Neu. Neuware - Master R programming and build real AI-powered data applications - no prior coding experience required. R Programming with AI is the complete beginner-to-practitioner guide for anyone who wants to learn R and apply it across data science, machine learning, and modern AI workflows. Written for 2026, this premium edition takes you from your very first line of R code to deploying a fully functional, AI-powered analytics dashboard. Author Thomas Scott brings over a decade of hands-on experience to a book that is practical above all else. Every concept is grounded in real code, real data, and real applications - not toy examples. WHAT YOU'LL LEARN: - R fundamentals: variables, data types, vectors, lists, data frames, and control flow- Working with the tidyverse: data cleaning with dplyr and beautiful visualizations with ggplot2- Exploratory data analysis and statistical reasoning in R- Machine learning with caret and tidymodels: regression, classification, and feature engineering- Connecting R to AI APIs and working with large language models- Prompt engineering techniques for R-based AI workflows- Embeddings, semantic search, and Retrieval-Augmented Generation (RAG)- Building autonomous AI agents and automation workflows- Interactive dashboards with Shiny- Production deployment and best practices for real-world R applications>WHY THIS BOOK: >Used by Google, Airbnb, the BBC, and thousands of research institutions worldwide, R is a career-defining skill - and this is the book that teaches it properly. Includes comprehensive appendices covering R syntax, dplyr, ggplot2, tidymodels, AI and ellmer integration, essential packages, a full glossary, common errors and fixes, and RStudio keyboard shortcuts. Perfect for: aspiring data scientists, analysts, researchers, students, and professionals who want to move beyond spreadsheets and into the world of intelligent, data-driven applications.