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{ "item_title" : "R Programming with AI", "item_author" : [" Thomas Scott "], "item_description" : "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- Full capstone project: a deployable AI-powered analytics dashboard WHY THIS BOOK: R was built by people who understood data - how it is collected, how it gets messy, and how to reason about it honestly. With over 20,000 packages on CRAN, exceptional statistical depth, and ggplot2's publication-quality visualizations, R remains the gold standard for data science and research. This 2026 Premium Edition adds complete coverage of the AI tools data professionals are using right now: prompt engineering, RAG, embeddings, and agent orchestration. 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.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/9/79/819/677/9798196772931_b.jpg", "price_data" : { "retail_price" : "18.00", "online_price" : "18.00", "our_price" : "18.00", "club_price" : "18.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
R Programming with AI|Thomas Scott

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

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Overview

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
- Full capstone project: a deployable AI-powered analytics dashboard

WHY THIS BOOK:
R was built by people who understood data - how it is collected, how it gets messy, and how to reason about it honestly. With over 20,000 packages on CRAN, exceptional statistical depth, and ggplot2's publication-quality visualizations, R remains the gold standard for data science and research. This 2026 Premium Edition adds complete coverage of the AI tools data professionals are using right now: prompt engineering, RAG, embeddings, and agent orchestration.

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.

This item is Non-Returnable

Details

  • ISBN-13: 9798196772931
  • ISBN-10: 9798196772931
  • Publisher: Independently Published
  • Publish Date: May 2026
  • Dimensions: 9 x 6 x 0.26 inches
  • Shipping Weight: 0.39 pounds
  • Page Count: 124

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