Listen as Anders Larson, FSA, MAAA talks with Shea Parkes, FSA, MAAA in the first of several episodes about data science programming languages. This episode focuses on R, which is probably the most popular languages for data science and statistical analysis in use today. Learn about the history of R, how to get started using it, strengths and weaknesses, and resources for learning more and enhancing your skills. This is the second in a broader series of episodes focusing on languages, libraries, frameworks and cloud providers.
Many popular machine learning algorithms have been discussed. When covering any algorithm, its useful to balance some theory and discuss specific implementations. Often, those specific implementations were in R or Python. After covering the major algorithms, it’s time to dig deeper into the languages commonly used to perform machine learning—R and Python. This is the first episode in a series focused on R, a rather quirky language with a quirky history. In this episode you will learn more about its background and how R has become the analytics powerhouse it is today.
