The future of machine learning seems to be very bright, with leaping advances in software & technology and the proliferation of the cloud. It is currently one of the fastest emerging technologies in the world, with many experts claiming that it holds the key to unlocking the doors to computing’s most mystical evolution- artificial intelligence. But sci-fi concepts apart, machine learning is a powerful tool that is already being used to solve complex classification problems.
If you have some programming experience, Python might be the language for you. Python’s syntax is more similar to other languages than R’s syntax is. Python’s readability is also nearly unmatched, as it reads much like a verbal language. This readability emphasizes development productivity, while R’s non-standard code could lead to stutters in the programming process.
To date, R has primarily been used in academics and research. This is beginning to change, though, as R usage expands into the enterprise market. R was written by statisticians and it shows—basic data management tasks are very easy. Labeling data, filling missing values, and filtering are all simple and intuitive in R, which emphasizes user-friendly data analysis, statistics, and graphical models.