jk123

I want to learn maths for artificial intelligence. I heard that main areas of mathematics for AI are Multivariable Calculus, Linear Algebra, Probability and Statistics and Discrete Mathematics. But what level of these subjects do I need? For example the easy level is like Calculus of Gilbert Strang and 18.01 Calculus from MIT Open Course Ware. The hard level is Apostol's or Spivak's Calculus. Do I need easy level of maths or hard level to be good at artificial intelligence and its areas (machine learning, pattern recognition).

I want to choose the area of ​​specialization - operating systems or artificial intelligence. On the one hand, I'm interested in operating systems and low-level programming. But this area seems to me to stop. It seems to me that nothing new happens here, "all have been invented". This article (though written long ago) confirmed my thoughts: http://doc.cat-v.org/bell_labs/utah2000/ On the other hand, artificial intelligence seems to be something very interesting and even exciting. There are many interesting areas - machine learning, machine vision, pattern recognition. Artificial intelligence is associated with robotics. I heard "Around 2025, being a robot programmer will be in demand as much as being an app programmer is today. Study lots of A.I. Start early". But I have friends who say that artificial intelligence - the area is quite boring, mainly related to the meticulous study of algorithms or "primitive selection of parameters for algorithms and preparation of input data for them."