If you are a computer scientist I am sure you agree with me when I say that trees are everywhere. And I mean everywhere! It is extremely common to use trees as a basic data structure to improve and define new algorithms in all sorts of domains. Machi...
Like everything in this world, finding the right path to a high-end goal can become tedious if you don't have the right tools. Each objective and environment has different requirements and must be treated differently. An example of this might be trav...
It might be too bold to call an activation function perfect, given that the No Free Lunch Theorem of machine learning states that there is no universally perfect machine learning algorithm. Nevertheless, as misleading as the title can be, I will try ...
The task of classification has existed long before the invention of machine learning. A problem that may arise when working with different algorithms is the use of an error function that determines if an algorithm is good enough, with classification ...
