Gradient Descent is one of the most used algorithms in Machine Learning and Deep Learning.
On past April 9th, I gave a talk for the Google I/O extended in Guatemala about Google Colaboratory.
Putting it in a few words, a confusion matrix is a summarization of the performance of an algorithm. It is a table that describes the performance of a classifier model with known labels.
First of all, what is a Norm? In Linear Algebra, a Norm refers to the total length of all the vectors in a space.
Naive Bayes is one of the simplest yet reliable algorithms used in Machine Learning, particularly in Natural Language Processing (NLP) problems.