I started the course FDS with the intention to complete the subsequent courses in ML and DL. However, what i realized after going through the DL session access provided during this lock down period, is my mathematics knowledge is not sufficient to get hold on the subject.
Even though professor provide route for the participants without Maths knowledge, i like to put my efforts to learn the fundamentals again before the ML session starts next. I tried to check from the internet, but is too confusing as different sites provide multiple information’s.
I seen the guidance to refer to book "“Mathematics for Machine Learning by Marc Peter Deisenroth, A. Aldo Faisal, and Cheng Soon Ong.”. in this forum.
My question is what are the chapters we need to study and be through - For Example: Linear Algebra,
Thanks in Advance
Thanks & Regards