Exploring Parallels: Human Learning vs. Machine Learning

In the realm of learning, humans and machines exhibit intriguing similarities despite their disparate origins and modes of operation. While humans learn through sensory experiences, interactions, and cognitive processes, machines acquire knowledge from data through algorithms and models. Exploring these parallels sheds light on the fundamental principles underlying learning processes and informs the development of more effective machine learning algorithms.