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Day 1 of learning mathematics for AI/ML as a no math person. Topic: linear algebra (points and vectors). I had recently learn python as a beginner with a main goal of exploring AI/ML and Robotics (which also requires me to learn C++). I have divided my goal into different phases and I am pretty much confident that I have learn enough python (I believe there's still a lot for me to learn however I think I know enough to advance forward). Therefore I am exploring AI/ML (which is another phase) and as I am someone who doesn't belong to a typical maths background I am focusing on studying mathematics which is used in AI/ML (mostly). I have studied about linear algebra today more specifically about points and vector. We all know that points are a specific location which can be represented by its coordinates. Vector on the other hand describes about "how much" (i.e. magnitude) and in "which direction". It is like an arrow showing movement from one place to another. Then there is distance formula which we use to find out the distance from the origin to the point. We can use distance formula to find out the distance between the origin and the point on any dimension (i.e. n(d)). The distance formula is under root a square + b square + ..n square. Where a, b, to ..n are the axis (x, z, y etc.) Then there is formula for finding distance between two points the formula is again under root (ai - bi) whole square (I think you can understand better by seeing in my notes). Also I have made my own personal notes of some of topics which I think are important. I know I may have made some mistakes or may had explained something different and therefore I welcome all you amazing people's suggestions and recommendations here. Also here are my own notes (I know my handwriting is bad sorry for that.😅) which I made.