1. Algorithm Selection Methods 1.1 Selection Criteria Problem Characteristics Key Considerations: Data Type Structured vs. unstructured Numerical vs. categorical Time series vs. static Text, image, or mixed Dataset Size Small data considerations Big data requirements Memory constraints Processing limitations Problem Type Classification vs. regression Supervised vs. unsupervised Online vs. batch learning Single vs. multi-label Domain…
