Deep Learning > ML > Flashcards
Standard Normalization vs Min-Max Normalization
min-max: Pro: falls within 0 and 1, Con: adversely affected by outliers e.g., squished by outlying large val
std norm: Pro: similar ranges for all variables
Bayes Rule
P(A|B) P(B) = P(B|A) P(A)
TF IDF