Day 41 of 100 Days of AI

One of the great things about continuous learning in this age is the variety of educational material you can find. I’ve found that consuming YouTube videos, online courses, blogs, and books has helped me learn concepts more dynamically.

For example, today I went over logistic regression again, this time using a book, and realised I’d missed a crucial aspect: when you fit a curve to the data, you search for a curve or plane that maximises likelihood. This is different to probability. Likelihood here is used to find a curve or plane that best fits the distribution of the data—a tricky concept for a beginner like me, but one that’s important to appreciate how logistic models actually work. (The likelihood—much like errors in linear regression—tells us how well our model fits the observed data.)

This is the benefit of circling back to concepts using different learning materials. You catch things you might have missed before.