Beginners By Richard Mendez7z - Machine Learning For

: Quantitative vs. categorical data and handling biases.

: Models find hidden patterns in "unlabeled" data without prior guidance (e.g., customer segmentation).

: Telling the "student" (the algorithm) to find the best-fit line or relationship in the data.