"Machine learning is not magic; it's just a tool, like a hammer or a wrench. And like any tool, it has limitations, which you need to understand in order to…
In this previous post on matrix multiplication, I discussed the geometrical significance of the dot product of matrices and how it represents the linear mapping of vectors. We also realized…
In my last blog on orthogonal projection, I shared how visualizing mathematical concepts help us understand them better. So, I thought of doing the same with matrix multiplication. Matrix multiplication…
On my road to understanding linear algebra for the sake of machine learning, linear transformation of vectors is the topic that I found most challenging to understand, at the same…
In a given vector space \(V\), the set of all the linear combinations that are possible with the vectors \(v_1, v_1, ..., v_n\) present in \(V\) is called the generating…
In this article on linear algebra, we are going to understand about linear independence between vectors. Furthermore, we will use Gaussian elimination to check if a set of vectors is…
In my previous article on understanding system of linear equations, I explained the basic meaning of system of linear equations. I also mentioned an example where the amount of resources…
Working with images is fun. When you understand the basics of processing images using programming, you come up with creative ideas on image processing and image augmentation. While there are…
During my graduation, I developed interest in machine learning and started studying about it. I realized most part of machine learning, if not all, is mathematics. Because the math I…
In a machine learning problem that involves an image dataset, for instance, a circle detection problem, training the model over those three-dimensional RGB images can get computationally expensive. Besides this,…
