R Programming with AI: A Complete Beginner's Guide to Programming, Data Science, Machine Learning, and AI Applications

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Bol 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.

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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.

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Pagina's: 123, Paperback, Independently published


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Merk Independently Published
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  • 9798196772931
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