How would one do this if they were say, someone that took algebra 20 years ago and didn’t do particularly well and then white knuckled “statistics for non STEM majors” as a requirement for something else and had no other maths background?
Try something like Khan Academy and some YouTube lessons
start with “functions”, refresh yourself on polynomials, skip trig to start with, and then look for calculus and derivatives.
Functions are the foundation of modelling change, then calculus is the tip of the iceberg. When you understand derivatives, the next course would be anti-derivatives and integration. For calculating integrals just focus on the concept, there’s a whole world of methods to calculate them that’s less important than understanding the idea.
It’s a good idea to do lots of excercises on paper and most frontier AI will be able to make you problem sets and evaluate your work.
How would one do this if they were say, someone that took algebra 20 years ago and didn’t do particularly well and then white knuckled “statistics for non STEM majors” as a requirement for something else and had no other maths background?
What are the steps?
Try something like Khan Academy and some YouTube lessons
start with “functions”, refresh yourself on polynomials, skip trig to start with, and then look for calculus and derivatives.
Functions are the foundation of modelling change, then calculus is the tip of the iceberg. When you understand derivatives, the next course would be anti-derivatives and integration. For calculating integrals just focus on the concept, there’s a whole world of methods to calculate them that’s less important than understanding the idea.
It’s a good idea to do lots of excercises on paper and most frontier AI will be able to make you problem sets and evaluate your work.