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Beside this, what do you mean by tensor?

Tensors, defined mathematically, are simply arrays of numbers, or functions, that transform according to certain rules under a change of coordinates. A tensor may consist of a single number, in which case it is referred to as a tensor of order zero, or simply a scalar.

Beside above, what is tensor in ML? Tensors are mathematical objects that generalize scalars, vectors and matrices to higher dimensions. If you are familiar with basic linear algebra, you should have no trouble understanding what tensors are. In short, a single-dimensional tensor can be represented as a vector.

In respect to this, what is a tensor for dummies?

To put it succinctly, tensors are geometrical objects over vector spaces, whose coordinates obey certain laws of transformation under change of basis. Vectors are simple and well-known examples of tensors, but there is much more to tensor theory than vectors.

What is the difference between a matrix and a tensor?

The basic idea, though, is that a matrix is just a 2-D grid of numbers. A tensor is often thought of as a generalized matrix. Any rank-2 tensor can be represented as a matrix, but not every matrix is really a rank-2 tensor.