Machine Learning, Aritificial Intelligence, Data Science.
boundaries. To tackle the diverse challenges in ML, we turn to more abstract mathematical spaces that offer a richer framework for understanding and manipulating data. Feature spaces, where each data point is represented as a vector, are crucial for algorithms to identify patterns and make