Machine Learning For Beginners By Richard Mendez7z -

Mendez categorizes ML into three distinct training methodologies:

: Using Tom M. Mitchell’s framework, an algorithm learns from a Task (T) , through Experience (E) , measured by a Performance (P) metric. 2. The Three Pillars of Learning Machine Learning For Beginners by Richard Mendez7z

Building a model is a phased process that begins long before code is written: through Experience (E)

: Telling the "student" (the algorithm) to find the best-fit line or relationship in the data. Machine Learning For Beginners by Richard Mendez7z

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

: An agent learns through trial and error, receiving rewards for good actions and penalties for bad ones (e.g., AI playing video games). 3. The Machine Learning Workflow

: Quantitative vs. categorical data and handling biases.