Reasons for Using R in Data Science

Several new fields have emerged as a result of the rapid growth in AI advancements; these include Data Science, Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, and Advanced Analytics. These subfields of AI are completely dependent on information that has been gathered and analyzed. Having more data to work with necessitated the development of dependable data processing, management, & visualization technologies, which creates more prospects for employment. This resulted in a rise in interest in learning R as a tool for data science, solidifying R's position as a top programming language for this purpose. Get R Programming Assignment Help to know more about it. Explain the significance of R - Ross Ihaka & Robert Gentleman created the programming language R, and the first functional beta version was released in the year 2000. R is a powerful technique for data visualization, time series analysis, categorization, clustering, and much more; it is ...