MCQ IN COMPUTER SCIENCE & ENGINEERING

Detailed explanation-1: -For a similar implementation in Python programming language, machine learning engineers have to use the NumPy package which is a clumsier implementation when compared to R. R is considered a powerful choice for machine learning because of the breadth of machine learning techniques it provides.

Detailed explanation-2: -It is regarded as the best for data science, sentiment analysis, natural language processing, and data science prototyping. Python is considered the best language for machine learning by a lot of coding experts.

Detailed explanation-3: -Python includes a modular machine learning library known as PyBrain, which provides easy-to-use algorithms for use in machine learning tasks. The best and most reliable coding solutions require a proper structure and tested environment, which is available in the Python frameworks and libraries.

Detailed explanation-4: -In Python, you don’t need to declare any data type with the variable. Python is widely used in technologies such as machine learning, artificial intelligence, etc., and popularly used in back-end development. C++ is good in hardware-level coding; that is why it is widely used to make embedded systems.