Using Python's built-in functions is a highly effective way to optimize code for faster data processing. ️ Built-ins are generally implemented in C, making them much faster than manually crafted ...

This project demonstrates the implementation of a highly efficient and scalable book recommendation system. It leverages an optimized cosine similarity computation for processing large sparse datasets ...

Streamlit: For creating the interactive web application. NumPy: The fundamental package for scientific computing with Python, used for array operations. Pandas: Used for organizing benchmark results ...

This example is inspired by bike rental companies operating in London, UK. The chapter presents sample Python and Matlab scripts for implementation of these ANNs. The ANNs generate predictions ...