I readily admit that I'm biased toward Python. This isn't intentional -- such is the case with many biases -- but coming from a computer science background and having been programming since a very young age, I have naturally tended towards general purpose programming languages (Java, C, C, Python, etc.). This is the major reason that Python books and resources are at the forefront of my radar, recommendations, and reviews. Obviously, however, not all data scientists are in this same position, given that there are innumerable paths to data science. Given that, and since R is powerful and popular programming language for a large swath of data scientists, today let's take a look at a book which uses R as a tool to implement solutions to data science problems.
Oct-24-2020, 00:04:20 GMT