Entropy In Real-world Datasets And Its Impact On Machine Learning Ii

This article discusses the importance of data science and machine learning in solving real-world challenges, and the need for continuous advancements in machine learning methodologies to handle complex data. It also introduces a special session focused on novel classification algorithms that utilize data science to effectively process real-world datasets. Researchers are invited to submit their original work on this topic, with a particular emphasis on the impact of entropy on machine learning effectiveness.