Programming Languages in Machine Learning

This chapter explores the dominance of Python in machine learning programming while addressing its limitations in deployment and performance. The discussion includes alternatives like Swift and the benefits of exploring multiple languages to enhance understanding and problem-solving capabilities. It highlights the integration of R, C++, and Rust, emphasizing their roles in optimizing algorithms and facilitating efficient computations in machine learning contexts.