@workiniterations on Instagram: "If I had to start again, this is the way I’d learn it for ML: 1. Random Variables – what randomness actually represents – discrete vs continuous (intuitively) – why data ≠ certainty Resources: – StatQuest: Random Variables – Khan Academy (intuition only) – Steve Brunton (probability intuition & uncertainty) 2. Distributions – normal, Bernoulli, binomial – mean vs variance (variance matters more than you think) – what a distribution says about data Resources: – St

Probability Theory 13 | Independence for Random Variables