The TensorFlow library requires a deep understanding of what is a tensor?

Question

higher mathematics

Recently, I was at a Data Science workshop and there the lecturer simply called the tensor a multidimensional array. It is in principle and logical - most of the libraries for Data Science are about how to store and process data, that is, about arrays (numpy, pandas etc). But the fact is that a tensor is a much more complex concept than just a multidimensional array. I thought about going to lectures on "Tensor and Vector Analysis" to physicists, if I need it in Data Science. Or do I not need a deeper understanding of the tensor than a multidimensional array?
And indicate in general the sections of mathematics that I should know, if not difficult.

Answer 1

Not necessary. Linear algebra is enough.