From IDE plugins to external chatbots and running LLMs locally, these new and emerging tools are bringing the generative AI revolution to R.

A scalable computational modeling environment requires a robust, user-friendly visual programming interface that acts as a conduit to an equally powerful geometry kernel.

But if you grasp the basics and want to learn data visualization fundamentals in R, I recommend Coursera’s guided project, Application of Data Analysis in Business with R Programming.

The generative AI technology powering ChatGPT—OpenAI's GPT-3.5 and GPT-4 LLMs—is available to R users, with a growing collection of packages and apps to choose from.

Marketers who are not technically savvy may feel overwhelmed by this, but the R programming language can carry out certain tasks when readying data for advanced analytics or machine learning models.

Why should marketers seek out R programming? For starters, it can help them take a deep-dive look at how the details of a predictive model will fit into and support overall their business plans.

Gain the ability to do predictive analysis and determine the relationship between historical data with this guide to using R for SEO.

Logic programming is investigated as a vehicle for structuring and implementing decision support systems, with particular attention paid to those dealing with financial modeling. This approach to ...