Machine learning (ML) is one of the fastest growing branches of artificial intelligence in modern times. It allows a system to learn from past experiences and generate a more appropriate response, just as a human mind would. The backbone of ML is effective data analysis.
R and Python are the most popular languages used for machine learning. Both open source languages provide a huge repertoire of statistical and predictive tools. However, they take very different approaches to data analytics. Let’s dive into the strengths and weaknesses of the two ML giants and decide which would be the best fit based on individual requirements.